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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.
- Format: Inbunden
- ISBN: 9789811241192
- Språk: Engelska
- Antal sidor: 884
- Utgivningsdatum: 2021-08-12
- Förlag: World Scientific Publishing Co Pte Ltd