Relational Data Clustering 'Models, Algorithms, and Applications'

A culmination of the authors’ years of extensive research on the topic, this book provides a complete, self-contained introduction to advances in relational data clustering. It presents a novel theoretical framework as well as the most state-of-the-art models for relational data clustering. The authors also describe a family of new algorithms for various relational clustering problems arising in a wide range of important applications. Concepts and theory are explained through detailed application examples and the book includes a comprehensive reference list of related literature.
• Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Data Preparation & Mining
Statistics & Computing
Machine Learning
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