Correspondence Analysis and Data Coding with Java and RCRC Press, 26.05.2005 - 256 Seiten 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 |
Inhalt
Introduction | 1 |
Theory of Correspondence Analysis | 29 |
Input Data Coding | 71 |
Examples and Case Studies | 111 |
Content Analysis of Text | 161 |
Concluding Remarks | 221 |
References | 223 |
| 229 | |
Andere Ausgaben - Alle anzeigen
Correspondence Analysis and Data Coding with Java and R Fionn Murtagh Keine Leseprobe verfügbar - 2019 |
Correspondence Analysis and Data Coding with Java and R Fionn Murtagh Keine Leseprobe verfügbar - 2005 |
Häufige Begriffe und Wortgruppen
algorithm allow apply approach associated attributes axes axis Benzécri Cahiers de l’Analyse calcul carried chapters CO2 CTR code category columns complete considered contingency contributions coordinates correlations correspondence analysis crossed data analysis defined denoted discussed display distance distribution eigenvalue elements Euclidean example factor Figure forms fragments frequency function fuzzy given gives groups hierarchical clustering hinges important individuals inertia input data interpretation l’Analyse des Données latter length look mapping mass matrix mean measurements methods noted objects observations obtained occurrences origin output plane plot points possible present principal principal components profiles projections quantity relative reports representation responses rows scores selected sequence shown space species sqrt statistical supplementary sweep tool words values variables variance vectors weighting
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