Browse State-of-the-Art › Nonparametric Clustering
Nonparametric Clustering
5 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Clustering when the number of clusters is unknwon
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
5 shown of 5 papers with code (18 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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23 Jun 2023 1 repository listedIn the new formulation, the discriminator converges to a fixed point while the generator converges to a distribution at the Nash equilibrium.
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27 Mar 2022 1 repository listedUsing a split/merge framework, a dynamic architecture that adapts to the changing K, and a novel loss, our proposed method outperforms existing nonparametric methods (both classical and deep ones).
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23 Feb 2018 1 repository listedWe also provide initialization strategies for our algorithm and methods to estimate the number of groups in the dataset.
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26 Sep 2017 1 repository listedThe idea is to identify the clustering structure by checking at different points and for different scales on departure from local homogeneity.
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13 Jan 2015 1 repository listedAs an unsupervised method, our model first leverages the advantages of deep learning for feature representation and dimension reduction.
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