Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (Unsupervised and Semi-Supervised Learning)
by Adil Bagirov, Napsu Karmitsa and Sona Taheri
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This updated 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 real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from very large data and data with noise and outliers. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the field and it is well suited for practitioners already familiar with the basics of optimization.
The book, Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (Unsupervised and Semi-Supervised Learning) [Bulk, Wholesale, Quantity] ISBN#9783031765117 in Hardcover by Adil Bagirov, Napsu Karmitsa, Sona Taheri may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer Nature Switzerland
- Authors
- Adil Bagirov, Napsu Karmitsa, Sona Taheri
- Format
- Hardcover
- Published
- Dec 17, 2024
- ISBN-13
- 9783031765117
- Pages
- 395
- Printing
- Printed on demand
Partitional Clustering via Nonsmooth Optimization for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $140.79 | 12% off list |
| 50 – 99 | $139.19 | 13% off list |
| 100+ | $137.59 | 14% off list |
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