Skip to search formSkip to main contentSkip to account menu

Principal Component Analysis

Known as: Analysis, Principal Component, Principal Component Analyses, PCA 
A vector space transform used to reduce the dimensionality in a dataset while retaining those characteristics of the dataset that contribute most to… 
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2012
Review
2012
Dimensionality Reduction is usually achieved on the feature space by adopting any one of the prescribed methods that fall under… 
2009
2009
With the proliferation of Web 2.0 and social networking sites, people can interact with each other easily through various social… 
2009
2009
This paper presents reliability and availability analysis of a k-out-of-(M+S): G warm standby system with time varying failure… 
2007
2007
Abstract —This article proposes a method for modeling andclassification apply on the uterine contractions in the electromyo-gram… 
Highly Cited
2004
Highly Cited
2004
Cladoceran assemblages were studied in littoral samples from 44 water bodies in Central Spain, showing great differences in… 
2000
2000
L'objectif de cette etude a ete de decrire de facon precise les differents stades d'anguilles (Anguilla anguilla) avant leur… 
1997
1997
Two interrelated difficulties could hinder the widespread use of SAR imagery in land cover mapping and monitoring: speckle and… 
1983
1983
The retention factor of 54 drugs in eight eluent mixtures is reported. Principal component analysis (PCA) of these data provided…