In this book Claudia Lemke develops a comprehensive Multi-Level Sustainable Development Index (MLSDI) that is applicable ...
Continue reading
Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing ...
Continue reading
Point process statistics is successfully used in fields such as material science, human epidemiology, social sciences, animal ...
Continue reading
Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern ...
Continue reading
Geometric Data Analysis (GDA) is the name suggested by Stanford University to designate the approach to Multivariate Statistics ...
Continue reading
The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents ...
Continue reading
This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and ...
Continue reading
This book describes existing and advanced methods to reduce the dimensionality of numerical databases. For each method, the ...
Continue reading
In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools ...
Continue reading
This was the era of the ?rst university calculation centres that one accessed over a counter. One would deposit cards on ...
Continue reading
Biostatistics is one of the scientific fields for which the recent developments have been extremely important. It is also ...
Continue reading
This is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. It has been written ...
Continue reading