In this book Claudia Lemke develops a comprehensive Multi-Level Sustainable Development Index (MLSDI) that is applicable ...
Lire la suiteLearn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing ...
Lire la suitePoint process statistics is successfully used in fields such as material science, human epidemiology, social sciences, animal ...
Lire la suiteFundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern ...
Lire la suiteGeometric Data Analysis (GDA) is the name suggested by Stanford University to designate the approach to Multivariate Statistics ...
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 ...
Lire la suiteThis was the era of the ?rst university calculation centres that one accessed over a counter. One would deposit cards on ...
Lire la suiteBiostatistics is one of the scientific fields for which the recent developments have been extremely important. It is also ...
Lire la suiteThis is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. It has been written ...
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