The Industrial Conference on Data Mining ICDM-Leipzig was the sixth event in a series of annual events which started in 2000. ...
Lire la suiteMost data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined ...
Lire la suiteThis book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians ...
Lire la suitePresents advances in data analysis and decision support and gives an actual overview on the interface between mathematics, ...
Lire la suiteThis book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic ...
Lire la suiteThis book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic ...
Lire la suiteThis volume provides new methodological developments in data analysis and classification. A wide range of topics is covered ...
Lire la suiteThis volume provides new methodological developments in data analysis and classification. A wide range of topics is covered ...
Lire la suiteDelivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various ...
Lire la suiteFundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern ...
Lire la suiteThis new volume in the series Springer Handbooks of Computational Statistics gives an overview of modern data visualization ...
Lire la suiteThe book provides a comprehensive treatment of multidimensional scaling (MDS), a family of statistical techniques for analyzing ...
Lire la suiteRemarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the ...
Lire la suiteThe first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents ...
Lire la suiteThis volume contains revised versions of selected papers presented during the biannual meeting of the Classification and ...
Lire la suiteThis book describes existing and advanced methods to reduce the dimensionality of numerical databases. For each method, the ...
Lire la suiteIn 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools ...
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