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