Introduction to Clustering Large and High-Dimensional Data

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Introduction to Clustering Large and High-Dimensional Data ISBN  0521852676 Release Date  13 November 2006 Category  Databases Tags  clustering,   cluster,   data mining,   This book @Amazon  View Tools Google Search Web flazx.com

Description There is a growing need for a more automated system of partitioning data sets into groups, or clusters. For example, digital libraries and the World Wide Web continue to grow exponentially, the ability to find useful information increasingly depends on the indexing infrastructure or search engine. Clustering techniques can be used to discover natural groups in data sets and to identify abstract structures that might reside there, without having any background knowledge of the characteristics of the data. Clustering has been used in a variety of areas, including computer vision, VLSI design, data mining, bio-informatics (gene expression analysis), and information retrieval, to name just a few. 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. Other books on Databases Creating Web-Accessible Databases: Case Studies for Libraries, Museums, and Other Nonprofits Handbook of Research on Fuzzy Information Processing in Databases Joe Celko's Thinking in Sets: Auxiliary, Temporal, and Virtual Tables in SQL (The Morgan Kaufmann Series in Data Management Systems) Handbook of Database Security: Applications and Trends Database Programming Languages: 11th International Symposium, DBPL 2007, Vienna, Austria, September 23-24, 2007, Revised Selected Papers (Lecture Notes in Computer Science) The Berkeley DB Book (Books for Professionals by Professionals) Architecture of a Database System Creating and Digitizing Language Corpora, Volume 2: Diachronic Databases Creating and Digitizing Language Corpora, Volume 1: Synchronic Databases Data Modeling Fundamentals: A Practical Guide for IT Professionals Adaptive Query Processing (Foundations and Trends(R) in Databases) Database System Concepts Applied Mathematics for Database Professionals (Expert's Voice) Databases and Information Systems IV: Selected Papers from the Seventh International Conference DB&IS'2006 - Volume 155 Frontiers in Artificial Intelligence and Applications Data Lifecycles: Managing Data for Strategic Advantage