Titlebook: Rankings and Preferences; New Results in Weigh Joaquim Pinto da Costa Book 2015 The Author(s) 2015 microarray data.principal component anal

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书目名称Rankings and Preferences网络公开度学科排名




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书目名称Rankings and Preferences被引频次学科排名




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书目名称Rankings and Preferences年度引用学科排名




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Book 2015f 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..

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2191-544X escribes an easy way of using weighted correlation with alre.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 p

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Introduction,s, the comparisons of different rankings by means of an appropriate, weighted, correlation coefficient is used. Some weighted correlation coefficients will be presented and analyzed in the book. We will also present some interesting applications like for instance in bioinformatics, principal component analysis, and clustering.

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Introduction,f data analysis tools, stock trading support, information retrieval, meta-learning and recommender systems. For the evaluation of the different methods, the comparisons of different rankings by means of an appropriate, weighted, correlation coefficient is used. Some weighted correlation coefficients

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