This unique compendium gives an updated presentation of clustering, one of the most challenging tasks in machine learning. The book provides a unitary presentation of classical and contemporary algorithms ranging from partitional and hierarchical clustering up to density-based clustering, clustering of categorical data, and spectral clustering.Most of the mathematical background is provided in appendices, highlighting algebraic and complexity theory, in order to make this volume as self-contained as possible. A substantial number of exercises and supplements makes this a useful reference textbook for researchers and students.
1139669247
CLUSTERING: THEORETICAL AND PRACTICAL ASPECTS: Theoretical and Practical Aspects
This unique compendium gives an updated presentation of clustering, one of the most challenging tasks in machine learning. The book provides a unitary presentation of classical and contemporary algorithms ranging from partitional and hierarchical clustering up to density-based clustering, clustering of categorical data, and spectral clustering.Most of the mathematical background is provided in appendices, highlighting algebraic and complexity theory, in order to make this volume as self-contained as possible. A substantial number of exercises and supplements makes this a useful reference textbook for researchers and students.
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CLUSTERING: THEORETICAL AND PRACTICAL ASPECTS: Theoretical and Practical Aspects
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CLUSTERING: THEORETICAL AND PRACTICAL ASPECTS: Theoretical and Practical Aspects
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174.0
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Product Details
| ISBN-13: | 9789811241215 |
|---|---|
| Publisher: | World Scientific Publishing Company, Incorporated |
| Publication date: | 08/03/2021 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| Pages: | 884 |
| File size: | 68 MB |
| Note: | This product may take a few minutes to download. |
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