Clustering: 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...

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Bibliographic Details
Main Author: Simovici, Dan A. (Author)
Format: Electronic eBook
Language:English
Published: New Jersey ; London ; Singapore World Scientific [2022]
Subjects:
Online Access:DE-573
DE-91
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Summary: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.
Physical Description:1 Online-Ressource (xv, 865 Seiten) Illustrationen
ISBN:9789811241208
9811241201
9789811241215
DOI:10.1142/12394

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