Rankings and Preferences
New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications
(Sprache: Englisch)
This book examines in detail the correlation, more precisely the weighted correlation and applications involving rankings. A general application is the evaluation of methods to predict rankings. Others involve rankings representing human...
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Klappentext zu „Rankings and Preferences “
This book examines in detail the correlation, more precisely the weighted correlation and applications involving rankings. A general application is the evaluation of methods to predict rankings. Others involve rankings representing human preferences to infer user preferences; the use of weighted correlation with microarray data and those in the domain of time series. In this book we present new weighted correlation coefficients and new methods of weighted principal component analysis.We also introduce new methods of dimension reduction and clustering for time series data and describe some theoretical results on the weighted correlation coefficients in separate sections.
Inhaltsverzeichnis zu „Rankings and Preferences “
- Introduction- The Weighted Rank Correlation Coefficient rW
- The Weighted Rank Correlation Coefficient rW2
- A Weighted Principal Component Analysis, WPCA1: Application to Gene Expression Data
- A Weighted Principal Component Analysis (WPCA2) for Time Series Data
- Weighted Clustering of Time Series
- Appendix
- References
Autoren-Porträt von Joaquim Pinto da Costa
Joaquim Pinto da Costa received his first degree in Applied Mathematics from Porto Universitiy (Portugal), his M. Sc. degree in Applied Statistics from Oxford University and his Ph.D. degree in Applied Mathematics from University of Rennes II (France). Since 199, he is Assistant Professor at the Mathematics Department of Porto University. His research interests include Statistics, Statistical Learning Theory, Pattern Recognition, Discriminant Analysis and Clustering, Data Analysis, Neural Networks, SVMs and Machine Learning.
Bibliographische Angaben
- Autor: Joaquim Pinto da Costa
- 2015, 1st ed. 2015, X, 91 Seiten, 4 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3662483432
- ISBN-13: 9783662483435
- Erscheinungsdatum: 25.09.2015
Sprache:
Englisch
Pressezitat
"This book describes newly developed methods of weighted correlation by the author and his collaborators. ... This book is useful for those who want to learn a series of studies on weighted correlations by the author and his collaborators." (Hidehiko Kamiya, Mathematical Reviews, August, 2016)
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