Introduction to Clustering Large and High-Dimensional Data - Softcover

Kogan, Jacob

Softcover

ISBN 10: 0521617936 ISBN 13: 9780521617932

Publisher: Cambridge University Press, 2007

Synopsis

Introduction to Clustering Large and High-Dimensional Data

About this title

Review:

"...this book may serve as a useful reference for scientists and engineers who need to understand the concepts of clustering in general and/or to focus on text mining applications. It is also appropriate for students who are attending a course in pattern recognition, data mining, or classification and are interested in learning more about issues related to the k-means scheme for an undergraduate or master's thesis project. Last, it supplies very interesting material for instructors."
Nicolas Loménie, IAPR Newsletter

Book Description:

This book focuses on a few of the most important clustering algorithms, providing a detailed account of these major models in an information retrieval context. The beginning chapters introduce the classic algorithms in detail, while the later chapters describe clustering through divergences and show recent research for more advanced audiences.

About this edition

• Publisher: Cambridge University Press
• Publication date: 2007
• ISBN 10: 0521617936
• ISBN 13: 9780521617932
• Binding: Paperback
• Number of pages: 222