Methods › General › Dimensionality Reduction › LDA

Linear Discriminant Analysis

LDA

459 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Linear discriminant analysis (LDA), normal discriminant analysis (NDA), or discriminant function analysis is a generalization of Fisher's linear discriminant, a method used in statistics, pattern recognition, and machine learning to find a linear combination of features that characterizes or separates two or more classes of objects or events. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.

Extracted from Wikipedia

Source:

Paper: Linear Discriminant Analysis: A Detailed Tutorial

Public version: Linear Discriminant Analysis: A Detailed Tutorial

Papers archive 2025-07-28

30 shown of 459, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 277 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Topic Models97
General Classification59
Classification42
Dimensionality Reduction40
Clustering34
Articles25
Sentiment Analysis20
Retrieval17
Sentence13
feature selection13
model13
Variational Inference12
Word Embeddings12
EEG11
Image Classification11
image-classification11
parameter estimation11
Document Classification10
Information Retrieval10
regression10

Usage over time archive 2025-07-28

Papers per year tagged with LDA: 2005 to 2025, peak 47 47 0 2005: 1 paper 2005 2006: 0 papers 2007: 3 papers 2007 2008: 3 papers 2009: 5 papers 2009 2010: 5 papers 2011: 3 papers 2011 2012: 11 papers 2013: 12 papers 2013 2014: 28 papers 2015: 30 papers 2015 2016: 46 papers 2017: 30 papers 2017 2018: 34 papers 2019: 38 papers 2019 2020: 47 papers 2021: 43 papers 2021 2022: 30 papers 2023: 28 papers 2023 2024: 40 papers 2025: 22 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (459 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Dimensionality Reduction

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections