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Correspondence Analysis and Data Coding with Java and R (Chapman & Hall/CRC Computer Science & Data Analysis) by David Talbot, David E.J. Talbot, James D.R. Talbot is a nonfiction available to read on EtoBox.

What is Correspondence Analysis and Data Coding with Java and R (Chapman & Hall/CRC Computer Science & Data Analysis) about?

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 application emerging, its significance is greater than ever. Correspondence Analysis and Data Coding with Java and R clearly demonstrates why this technique remains important and in the eyes of many, unsurpassed as an analysis framework. After presenting some historical background, the author presents a theoretical overview of the mathematics and underlying algorithms of correspondence analysis and hierarchical clustering. The focus then shifts to data coding, with a survey of the widely varied possibilities correspondence analysis offers and introduction of the Java software for correspondence analysis, clustering, and interpretation tools. A chapter of case studies follows, wherein the author explores applications to areas such as shape analysis and time-evolving data. The final chapter reviews the wealth of studies on textual content as well as textual form, carried out by Benzécr

Who reads Correspondence Analysis and Data Coding with Java and R (Chapman & Hall/CRC Computer Science & Data Analysis)?

Author

David Talbot, David E.J. Talbot, James D.R. Talbot

Publisher

Chapman and Hall/CRC

Published

2005

Language

EN

ISBN

9781498797771

Category

nonfiction

Subjects

Mathematics, Engineering, Computer Science