Clustering: Theoretical And Practical Aspects (Hardcover)

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.

General

Imprint:	World Scientific Publishing Co Pte Ltd
Country of origin:	Singapore
Release date:	August 2021
First published:	2022
Authors:	Dan A. Simovici
Format:	Hardcover
Pages:	884
ISBN-13:	978-981-12-4119-2
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	981-12-4119-8
Barcode:	9789811241192

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