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Rankings and Preferences

New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications

Rankings and Preferences by Joaquim Pinto da Costa
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This book examines in detail the correlation, more precisely the weighted correlation and applications involving rankings. A general application is the evaluation of methods to predict rankings. Others involve rankings representing human preferences to infer user preferences; the use of weighted correlation with microarray data and those in the domain of time series. In this book we present new weighted correlation coefficients and new methods of weighted principal component analysis.

We also introduce new methods of dimension reduction and clustering for time series data and describe some theoretical results on the weighted correlation coefficients in separate sections.

Springer Berlin Heidelberg; September 2015
95 pages; ISBN 9783662483442
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Title: Rankings and Preferences
Author: Joaquim Pinto da Costa
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