ISBN: 9780367392734

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 im… Mehr…

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 Benzécri 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. Books > Science & Nature > Math & Physics > Mathematics > Probability & Statistics List_Books<

ISBN: 9780367392734

Developed by Jean-Paul Benzrci more than 30 years ago correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importan… Mehr…

Developed by Jean-Paul Benzrci 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 Benzcri 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. Media > Books > Print Books new, Chapman & Hall<

2019, ISBN: 0367392739

[EAN: 9780367392734], Neubuch, [SC: 0.0], [PU: CRC Press], CORRESPONDENCE ANALYSIS WTS HIERARCHICAL CLUSTERING ?2 DISTANCE FUZZY CODING BURT TABLE PRINCIPAL COMPONENTS SUPPLEMENTARY ROWS … Mehr…

[EAN: 9780367392734], Neubuch, [SC: 0.0], [PU: CRC Press], CORRESPONDENCE ANALYSIS WTS HIERARCHICAL CLUSTERING ?2 DISTANCE FUZZY CODING BURT TABLE PRINCIPAL COMPONENTS SUPPLEMENTARY ROWS TOOL WORDS ELEMENTS CO2 CTR S1 DH ST MOLAR J1 J2 J3 J4 J5 WORD FORMS CONDITIONAL POSSIBILITY MULTIPLE C, Books<

2019, ISBN: 0367392739

[EAN: 9780367392734], Neubuch, [PU: CRC Press], CORRESPONDENCE ANALYSIS WTS HIERARCHICAL CLUSTERING ?2 DISTANCE FUZZY CODING BURT TABLE PRINCIPAL COMPONENTS SUPPLEMENTARY ROWS TOOL WORDS … Mehr…

[EAN: 9780367392734], Neubuch, [PU: CRC Press], CORRESPONDENCE ANALYSIS WTS HIERARCHICAL CLUSTERING ?2 DISTANCE FUZZY CODING BURT TABLE PRINCIPAL COMPONENTS SUPPLEMENTARY ROWS TOOL WORDS ELEMENTS CO2 CTR S1 DH ST MOLAR J1 J2 J3 J4 J5 WORD FORMS CONDITIONAL POSSIBILITY MULTIPLE C, Books<

2019, ISBN: 9780367392734

Buch, Softcover, [PU: CRC Press], CRC Press, 2019