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Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis tha...Lees meer
This book includes relevant developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based a...Lees meer
Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis tha...Lees meer
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Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundati...Lees meer
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This third edition covers today's most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of...Lees meer
Written by a member of the R Development Core Team, this resource provides important information on how to work with research data. It contains a coll...Lees meer
Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Progra...Lees meer
Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points ...Lees meer
This valuable text addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks cov...Lees meer
To harness the high-throughput potential of DNA microarray technology, it is crucial that the analysis stages of the process are decoupled from the re...Lees meer
Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, ...Lees meer
Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R...Lees meer
This book introduces the theory, methods, and applications of correspondence analysis. With an emphasis on data coding, it clearly demonstrates why th...Lees meer
This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications in...Lees meer
This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written...Lees meer
This book provides a broad, accessible treatment of the theory and linguistic applications of semisupervised methods. It presents a brief history of t...Lees meer
This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference thro...Lees meer
Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R...Lees meer
This book provides a broad, accessible treatment of the theory and linguistic applications of semisupervised methods. It presents a brief history of t...Lees meer
This book includes relevant developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based a...Lees meer
This third edition covers today's most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of...Lees meer
This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written...Lees meer