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Books > Computing & IT > Computer programming > Programming languages
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Correspondence Analysis and Data Coding with Java and R (Hardcover, New)
Loot Price: R4,735
Discovery Miles 47 350
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Correspondence Analysis and Data Coding with Java and R (Hardcover, New)
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Expected to ship within 12 - 17 working days
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Developed by Jean-Paul Benzerci 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
Benzecri and his research lab. These discussions show the
importance of correspondence analysis to artificial intelligence as
well as to stylometry and other fields. This book not only shows
why correspondence analysis is important, but with a clear
presentation replete with advice and guidance, also shows how to
put this technique into practice. Downloadable software and data
sets allow quick, hands-on exploration of innovative correspondence
analysis applications.
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