Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (Unsupervised and SemiSupervised Learning),Used

Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (Unsupervised and SemiSupervised Learning),Used

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SKU: DADAX303037825X
Brand: Springer
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This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on realtime clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from big data. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the ?eld and it is well suited for practitioners already familiar with the basics of optimization.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

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