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1. Statistical Learning and Data Science

   Edited by Mireille Gettler Summa, Leon Bottou, Bernard Goldfarb, Fionn Murtagh, Catherine Pardoux, Myriam Touati

   Series: Chapman & Hall/CRC Computer Science & Data Analysis

   Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new...

   Published December 18th 2011 by Chapman and Hall/CRC
2. Correspondence Analysis and Data Coding with Java and R

   By Fionn Murtagh

   Series: Chapman & Hall/CRC Computer Science & Data Analysis

   Developed by Jean-Paul Benzérci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of...

   Published May 25th 2005 by Chapman and Hall/CRC