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