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Independent Component Analysis

ICA

261 papers tagged archive 2025-07-28

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

Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of random variables, measurements, or signals.

ICA defines a generative model for the observed multivariate data, which is typically given as a large database of samples. In the model, the data variables are assumed to be linear mixtures of some unknown latent variables, and the mixing system is also unknown. The latent variables are assumed nongaussian and mutually independent, and they are called the independent components of the observed data. These independent components, also called sources or factors, can be found by ICA.

ICA is superficially related to principal component analysis and factor analysis. ICA is a much more powerful technique, however, capable of finding the underlying factors or sources when these classic methods fail completely.

Extracted from (https://www.cs.helsinki.fi/u/ahyvarin/whatisica.shtml)

Source papers:

Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture

Independent component analysis, A new concept?

Independent component analysis: algorithms and applications

Papers archive 2025-07-28

30 shown of 261, 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 144 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
blind source separation23
Representation Learning22
EEG19
Disentanglement15
Electroencephalogram (EEG)14
Dimensionality Reduction13
Time Series9
Time Series Analysis9
Clustering8
Image Classification7
Contrastive Learning6
BIG-bench Machine Learning5
Causal Discovery5
Diagnostic5
Dictionary Learning5
Functional Connectivity5
Variational Inference5
image-classification5
Anatomy4
Classification4

Usage over time archive 2025-07-28

Papers per year tagged with ICA: 2007 to 2025, peak 43 43 0 2007: 2 papers 2007 2008: 2 papers 2009: 1 paper 2009 2010: 1 paper 2011: 4 papers 2011 2012: 2 papers 2013: 8 papers 2013 2014: 10 papers 2015: 8 papers 2015 2016: 14 papers 2017: 15 papers 2017 2018: 19 papers 2019: 21 papers 2019 2020: 22 papers 2021: 30 papers 2021 2022: 17 papers 2023: 31 papers 2023 2024: 43 papers 2025: 11 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (261 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

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