Kernel-independent component analysis
id:
kernel-independent-component-analysis-280-2719453
title:
Kernel-independent component analysis
text:
In statistics, kernel-independent component analysis is an efficient algorithm for independent component analysis which estimates source components by optimizing a generalized variance contrast function, which is based on representations in a reproducing kernel Hilbert space. Those contrast functions use the notion of mutual information as a measure of statistical independence.
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Kernel-independent_component_analysis
date created:
date modified:
2023-07-24T03:53:28Z
main entity:
{"identifier":"Q25099868","url":"https://www.wikidata.org/entity/Q25099868"}
image:
fields total:
13
integrity:
13