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Publisher
Springer, Berlin, Heidelberg
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Authors: Mika SatoIlic Lakhmi C Jain
Publish Date: 2006
Volume: , Issue: , Pages: 9-44
Abstract
In this chapter we describe Weighted Principal Component Analyses WPCA 48 52 56 using the result of fuzzy clustering 5 36 The Principal Component Analysis PCA 1 26 is a widely used and wellknown data analysis technique However problems arise when the data does not have a structure that PCA can capture and thus we cannot obtain any satisfactory results For the most part this is due to the uniformity of the data structure which means we cannot find any significant proportion or accumulated proportion for the principal components obtained
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