{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/clustering/papers/104","list_of":"/task/clustering","task":"Clustering","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":104,"pages_in_order":108,"rows_per_page":100,"rows":[10301,10400],"of":10718,"counts":{"archive_papers_tagged":10718,"with_a_code_link":2823,"where_syntology_ran_a_sample":419,"not_listed_spam_title":0,"listed":10718,"listed_where_code_ran":419,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":335,"every_run_a_failure_of_syntologys_instrument":84,"listed_with_a_run_with_no_instrument_failure":335,"listed_every_run_a_failure_of_syntologys_instrument":84,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/clustering","prev":"/task/clustering/papers/103","next":"/task/clustering/papers/105","papers":[{"url":null,"slug":"binary-to-bushy-bayesian-hierarchical","title":"Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-submodular-maximization-1","title":"Distributed Submodular Maximization: Identifying Representative Elements in Massive Data","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-determinantal-point-process-sampling","title":"Fast Determinantal Point Process Sampling with Application to Clustering","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"global-solver-and-its-efficient-approximation","title":"Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"k-prototype-learning-for-3d-rigid-structures","title":"k-Prototype Learning for 3D Rigid Structures","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"latent-maximum-margin-clustering","title":"Latent Maximum Margin Clustering","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-multiple-models-via-regularized","title":"Learning Multiple Models via Regularized Weighting","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"low-rank-matrix-reconstruction-and-clustering","title":"Low-rank matrix reconstruction and clustering via approximate message passing","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"memoized-online-variational-inference-for","title":"Memoized Online Variational Inference for Dirichlet Process Mixture Models","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"moment-based-uniform-deviation-bounds-for-k-1","title":"Moment-based Uniform Deviation Bounds for k-means and Friends","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-objective-optimization-for-clustering","title":"Multi-Objective Optimization for Clustering of Medical Publications","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"provable-subspace-clustering-when-lrr-meets","title":"Provable Subspace Clustering: When LRR meets SSC","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"summary-statistics-for-partitionings-and","title":"Summary Statistics for Partitionings and Feature Allocations","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-mixture-of-generalized-hyperbolic-factor","title":"A Mixture of Generalized Hyperbolic Factor Analyzers","date":"2013-11-26","arxiv_id":"1311.6530","repositories_listed":0,"syntology":null},{"url":null,"slug":"auto-adaptative-laplacian-pyramids-for-high","title":"Auto-adaptative Laplacian Pyramids for High-dimensional Data Analysis","date":"2013-11-26","arxiv_id":"1311.6594","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-and-weighted-self-organizing-time","title":"Automated and Weighted Self-Organizing Time Maps","date":"2013-11-22","arxiv_id":"1311.5763","repositories_listed":0,"syntology":null},{"url":null,"slug":"clustering-and-relational-ambiguity-from-text","title":"Clustering and Relational Ambiguity: from Text Data to Natural Data","date":"2013-11-21","arxiv_id":"1311.5401","repositories_listed":0,"syntology":null},{"url":null,"slug":"gromov-hausdorff-stability-of-linkage-based","title":"Gromov-Hausdorff stability of linkage-based hierarchical clustering methods","date":"2013-11-20","arxiv_id":"1311.5068","repositories_listed":0,"syntology":null},{"url":null,"slug":"clustering-markov-decision-processes-for","title":"Clustering Markov Decision Processes For Continual Transfer","date":"2013-11-15","arxiv_id":"1311.3959","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversity-and-social-network-structure-in","title":"Diversity and Social Network Structure in Collective Decision Making: Evolutionary Perspectives with Agent-Based Simulations","date":"2013-11-14","arxiv_id":"1311.3674","repositories_listed":0,"syntology":null},{"url":null,"slug":"hypothesis-testing-for-automated-community","title":"Hypothesis Testing for Automated Community Detection in Networks","date":"2013-11-12","arxiv_id":"1311.2694","repositories_listed":0,"syntology":null},{"url":null,"slug":"spectral-clustering-via-the-power-method","title":"Spectral Clustering via the Power Method -- Provably","date":"2013-11-12","arxiv_id":"1311.2854","repositories_listed":0,"syntology":null},{"url":null,"slug":"embed-and-conquer-scalable-embeddings-for","title":"Embed and Conquer: Scalable Embeddings for Kernel k-Means on MapReduce","date":"2013-11-11","arxiv_id":"1311.2334","repositories_listed":0,"syntology":null},{"url":null,"slug":"notes-on-elementary-spectral-graph-theory","title":"Notes on Elementary Spectral Graph Theory. Applications to Graph Clustering Using Normalized Cuts","date":"2013-11-11","arxiv_id":"1311.2492","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-ontology-generation-for-data-mining","title":"Automatic ontology generation for data mining using fca and clustering","date":"2013-11-07","arxiv_id":"1311.1764","repositories_listed":0,"syntology":null},{"url":null,"slug":"constructing-time-series-shape-association","title":"Constructing Time Series Shape Association Measures: Minkowski Distance and Data Standardization","date":"2013-11-07","arxiv_id":"1311.1958","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-divide-and-conquer-solver-for-kernel","title":"A Divide-and-Conquer Solver for Kernel Support Vector Machines","date":"2013-11-04","arxiv_id":"1311.0914","repositories_listed":0,"syntology":null},{"url":null,"slug":"parsimonious-shifted-asymmetric-laplace","title":"Parsimonious Shifted Asymmetric Laplace Mixtures","date":"2013-11-01","arxiv_id":"1311.0317","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparison-of-bandwidth-selectors-for-mean","title":"A comparison of bandwidth selectors for mean shift clustering","date":"2013-10-29","arxiv_id":"1310.7855","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-information-theoretic-clustering-on","title":"Efficient Information Theoretic Clustering on Discrete Lattices","date":"2013-10-26","arxiv_id":"1310.7114","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-based-approaches-to-clustering-network","title":"Graph-Based Approaches to Clustering Network-Constrained Trajectory Data","date":"2013-10-19","arxiv_id":"1310.5249","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-sparsity-and-clustering","title":"A novel sparsity and clustering regularization","date":"2013-10-18","arxiv_id":"1310.4945","repositories_listed":0,"syntology":null},{"url":null,"slug":"discriminative-link-prediction-using-local","title":"Discriminative Link Prediction using Local Links, Node Features and Community Structure","date":"2013-10-17","arxiv_id":"1310.4579","repositories_listed":0,"syntology":null},{"url":null,"slug":"demystifying-information-theoretic-clustering","title":"Demystifying Information-Theoretic Clustering","date":"2013-10-15","arxiv_id":"1310.4210","repositories_listed":0,"syntology":null},{"url":null,"slug":"ridge-fusion-in-statistical-learning","title":"Ridge Fusion in Statistical Learning","date":"2013-10-15","arxiv_id":"1310.3892","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-improved-k-means-clustering-based-approach","title":"An Improved K-means Clustering Based Approach to Detect a DNA Structure in H&E Image of Mouse Tissue Reacted with CD4-Green Antigen","date":"2013-10-12","arxiv_id":"1310.3399","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-big-data-with-dynamic-quantum","title":"Analyzing Big Data with Dynamic Quantum Clustering","date":"2013-10-10","arxiv_id":"1310.2700","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalized-negative-binomial-processes-and","title":"Generalized Negative Binomial Processes and the Representation of Cluster Structures","date":"2013-10-07","arxiv_id":"1310.1800","repositories_listed":0,"syntology":null},{"url":null,"slug":"role-of-normalization-in-spectral-clustering","title":"Role of normalization in spectral clustering for stochastic blockmodels","date":"2013-10-05","arxiv_id":"1310.1495","repositories_listed":0,"syntology":null},{"url":null,"slug":"clustering-on-multiple-incomplete-datasets","title":"Clustering on Multiple Incomplete Datasets via Collective Kernel Learning","date":"2013-10-04","arxiv_id":"1310.1177","repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-clustering-learning-fine","title":"Weakly supervised clustering: Learning fine-grained signals from coarse labels","date":"2013-10-04","arxiv_id":"1310.1363","repositories_listed":0,"syntology":null},{"url":null,"slug":"perfect-clustering-for-stochastic-blockmodel","title":"Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding","date":"2013-10-02","arxiv_id":"1310.0532","repositories_listed":0,"syntology":null},{"url":null,"slug":"building-chinese-event-type-paradigm-based-on","title":"Building Chinese Event Type Paradigm Based on Trigger Clustering","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"classifying-traffic-scenes-using-the-gist","title":"Classifying Traffic Scenes Using The GIST Image Descriptor","date":"2013-10-01","arxiv_id":"1310.0316","repositories_listed":0,"syntology":null},{"url":null,"slug":"clustering-microtext-streams-for-event","title":"Clustering Microtext Streams for Event Identification","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"incoherence-optimal-matrix-completion","title":"Incoherence-Optimal Matrix Completion","date":"2013-10-01","arxiv_id":"1310.0154","repositories_listed":0,"syntology":null},{"url":null,"slug":"jointly-clustering-rows-and-columns-of-binary","title":"Jointly Clustering Rows and Columns of Binary Matrices: Algorithms and Trade-offs","date":"2013-10-01","arxiv_id":"1310.0512","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-latent-word-representations-for","title":"Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multiclass-road-sign-detection-using","title":"Multiclass Road Sign Detection using Multiplicative Kernel","date":"2013-10-01","arxiv_id":"1310.0311","repositories_listed":0,"syntology":null},{"url":null,"slug":"summary-statistics-for-partitionings-and-1","title":"Summary Statistics for Partitionings and Feature Allocations","date":"2013-10-01","arxiv_id":"1310.0509","repositories_listed":0,"syntology":null},{"url":null,"slug":"tuning-smt-with-a-large-number-of-features","title":"Tuning SMT with a Large Number of Features via Online Feature Grouping","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"rotationally-invariant-image-representation","title":"Rotationally Invariant Image Representation for Viewing Direction Classification in Cryo-EM","date":"2013-09-29","arxiv_id":"1309.7643","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-efficient-index-for-visual-search-in","title":"An Efficient Index for Visual Search in Appearance-based SLAM","date":"2013-09-27","arxiv_id":"1309.7170","repositories_listed":0,"syntology":null},{"url":null,"slug":"convex-relaxations-of-bregman-divergence","title":"Convex Relaxations of Bregman Divergence Clustering","date":"2013-09-26","arxiv_id":"1309.6823","repositories_listed":0,"syntology":null},{"url":null,"slug":"determinantal-clustering-processes-a","title":"Determinantal Clustering Processes - A Nonparametric Bayesian Approach to Kernel Based Semi-Supervised Clustering","date":"2013-09-26","arxiv_id":"1309.6862","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-document-clustering-and-topic","title":"Integrating Document Clustering and Topic Modeling","date":"2013-09-26","arxiv_id":"1309.6874","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-framework-for-representation-based","title":"A Unified Framework for Representation-based Subspace Clustering of Out-of-sample and Large-scale Data","date":"2013-09-25","arxiv_id":"1309.6487","repositories_listed":0,"syntology":null},{"url":null,"slug":"contextually-learnt-detection-of-unusual","title":"Contextually learnt detection of unusual motion-based behaviour in crowded public spaces","date":"2013-09-25","arxiv_id":"1309.6390","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-programmable-self-assembly-in-non","title":"Exploring Programmable Self-Assembly in Non-DNA based Molecular Computing","date":"2013-09-25","arxiv_id":"1309.6449","repositories_listed":0,"syntology":null},{"url":null,"slug":"solving-oscar-regularization-problems-by","title":"Solving OSCAR regularization problems by proximal splitting algorithms","date":"2013-09-24","arxiv_id":"1309.6301","repositories_listed":0,"syntology":null},{"url":null,"slug":"ellipsoidal-rounding-for-nonnegative-matrix","title":"Ellipsoidal Rounding for Nonnegative Matrix Factorization Under Noisy Separability","date":"2013-09-23","arxiv_id":"1309.5701","repositories_listed":0,"syntology":null},{"url":null,"slug":"dgt-tm-a-freely-available-translation-memory","title":"DGT-TM: A freely Available Translation Memory in 22 Languages","date":"2013-09-20","arxiv_id":"1309.5226","repositories_listed":0,"syntology":null},{"url":null,"slug":"jrc-eurovoc-indexer-jex-a-freely-available","title":"JRC EuroVoc Indexer JEX - A freely available multi-label categorisation tool","date":"2013-09-20","arxiv_id":"1309.5223","repositories_listed":0,"syntology":null},{"url":null,"slug":"network-anomaly-detection-a-survey-and","title":"Network Anomaly Detection: A Survey and Comparative Analysis of Stochastic and Deterministic Methods","date":"2013-09-19","arxiv_id":"1309.4844","repositories_listed":0,"syntology":null},{"url":null,"slug":"regularized-spectral-clustering-under-the","title":"Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel","date":"2013-09-16","arxiv_id":"1309.4111","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-clustering-of-hyperspectral","title":"Hierarchical Clustering of Hyperspectral Images using Rank-Two Nonnegative Matrix Factorization","date":"2013-09-14","arxiv_id":"1310.7441","repositories_listed":0,"syntology":null},{"url":null,"slug":"partitioning-into-expanders","title":"Partitioning into Expanders","date":"2013-09-12","arxiv_id":"1309.3223","repositories_listed":0,"syntology":null},{"url":null,"slug":"recovery-guarantees-for-exemplar-based","title":"Recovery guarantees for exemplar-based clustering","date":"2013-09-12","arxiv_id":"1309.3256","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-transformations-for-clustering-and","title":"Learning Transformations for Clustering and Classification","date":"2013-09-09","arxiv_id":"1309.2074","repositories_listed":0,"syntology":null},{"url":null,"slug":"spectral-clustering-with-imbalanced-data","title":"Spectral Clustering with Imbalanced Data","date":"2013-09-09","arxiv_id":"1309.2303","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-clustering-approach-to-learn-sparsely-used","title":"A Clustering Approach to Learn Sparsely-Used Overcomplete Dictionaries","date":"2013-09-08","arxiv_id":"1309.1952","repositories_listed":0,"syntology":null},{"url":null,"slug":"variational-bayes-approximations-for","title":"Variational Bayes Approximations for Clustering via Mixtures of Normal Inverse Gaussian Distributions","date":"2013-09-07","arxiv_id":"1309.1901","repositories_listed":0,"syntology":null},{"url":null,"slug":"noisy-sparse-subspace-clustering","title":"Noisy Sparse Subspace Clustering","date":"2013-09-05","arxiv_id":"1309.1233","repositories_listed":0,"syntology":null},{"url":null,"slug":"skynet-an-efficient-and-robust-neural-network","title":"SKYNET: an efficient and robust neural network training tool for machine learning in astronomy","date":"2013-09-03","arxiv_id":"1309.0790","repositories_listed":0,"syntology":null},{"url":null,"slug":"tagging-scientific-publications-using","title":"Tagging Scientific Publications using Wikipedia and Natural Language Processing Tools. Comparison on the ArXiv Dataset","date":"2013-09-02","arxiv_id":"1309.0326","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-clustering-approach-for-translationese","title":"A clustering approach for translationese identification","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-lexico-semantic-analysis-of-chinese","title":"A Lexico-Semantic Analysis of Chinese Locality Phrases - A Topic Clustering Approach","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-agglomerative-hierarchical-clustering","title":"An Agglomerative Hierarchical Clustering Algorithm for Labelling Morphs","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"effective-spell-checking-methods-using","title":"Effective Spell Checking Methods Using Clustering Algorithms","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ensemble-approaches-for-improving-community","title":"Ensemble approaches for improving community detection methods","date":"2013-09-01","arxiv_id":"1309.0242","repositories_listed":0,"syntology":null},{"url":null,"slug":"sense-clustering-using-wikipedia","title":"Sense Clustering Using Wikipedia","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-learning-of-a-morphous","title":"Unsupervised Learning of A-Morphous Inflection with Graph Clustering","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"clustering-classification-discriminant","title":"Clustering, Classification, Discriminant Analysis, and Dimension Reduction via Generalized Hyperbolic Mixtures","date":"2013-08-28","arxiv_id":"1308.6315","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-lovasz-bregman-divergence-and-connections","title":"The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking","date":"2013-08-24","arxiv_id":"1308.5275","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-deep-representation-without","title":"Learning Deep Representation Without Parameter Inference for Nonlinear Dimensionality Reduction","date":"2013-08-22","arxiv_id":"1308.4922","repositories_listed":0,"syntology":null},{"url":null,"slug":"minimal-dirichlet-energy-partitions-for","title":"Minimal Dirichlet energy partitions for graphs","date":"2013-08-22","arxiv_id":"1308.4915","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-balanced-k-means-algorithm-for-weighted","title":"A balanced k-means algorithm for weighted point sets","date":"2013-08-19","arxiv_id":"1308.4004","repositories_listed":0,"syntology":null},{"url":null,"slug":"axioms-for-graph-clustering-quality-functions","title":"Axioms for graph clustering quality functions","date":"2013-08-15","arxiv_id":"1308.3383","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-algorithm-of-noisy-k-means","title":"The algorithm of noisy k-means","date":"2013-08-15","arxiv_id":"1308.3314","repositories_listed":0,"syntology":null},{"url":null,"slug":"fighting-sample-degeneracy-and-impoverishment","title":"Fighting Sample Degeneracy and Impoverishment in Particle Filters: A Review of Intelligent Approaches","date":"2013-08-12","arxiv_id":"1308.2443","repositories_listed":0,"syntology":null},{"url":null,"slug":"flexible-and-robust-co-regularized-multi","title":"Flexible and Robust Co-Regularized Multi-Domain Graph Clustering.","date":"2013-08-11","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-features-and-their-transformations","title":"Learning Features and their Transformations by Spatial and Temporal Spherical Clustering","date":"2013-08-10","arxiv_id":"1308.2350","repositories_listed":0,"syntology":null},{"url":null,"slug":"clustering-and-community-detection-in","title":"Clustering and Community Detection in Directed Networks: A Survey","date":"2013-08-05","arxiv_id":"1308.0971","repositories_listed":0,"syntology":null},{"url":null,"slug":"context-specific-event-model-for-news","title":"Context Specific Event Model For News Articles","date":"2013-08-05","arxiv_id":"1308.0897","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-tightly-coupled-unsupervised-clustering-and","title":"A Tightly-coupled Unsupervised Clustering and Bilingual Alignment Model for Transliteration","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-information-theoretic-approach-to","title":"An Information Theoretic Approach to Bilingual Word Clustering","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"diathesis-alternation-approximation-for-verb","title":"Diathesis alternation approximation for verb clustering","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"heady-news-headline-abstraction-through-event","title":"HEADY: News headline abstraction through event pattern clustering","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improved-lexical-acquisition-through-dpp","title":"Improved Lexical Acquisition through DPP-based Verb Clustering","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-robust-subspace-clustering","title":"Learning Robust Subspace Clustering","date":"2013-08-01","arxiv_id":"1308.0273","repositories_listed":0,"syntology":null}],"record_sha256":"c26836e63ed47da6212d4fe65715c1c468f4676550c8b09d07e58b0a14fcdf5d","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}