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This book presents a unified framework for clustering based on a data recovery perspective. It examines clustering models, algorithms, and validation techniques with an emphasis on mathematical foundations and practical application to real-world data mining tasks. The text integrates theory, methodology, and case studies, making it suitable for researchers and practitioners seeking a rigorous approach to clustering.

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245: $a: Clustering for Data Mining: A Data Recovery Approach
245: $b:
082: $a:
100: $a: Boris Mirkin
650: $a: Data Mining
250: $a:
440: $v:
250: $b: Chapman & Hall/CRC
250: $c: 2005
020: $a: 978-1-58488-534-4
300: $a: 277