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Book Synopsis
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.

Clustering: Theoretical And Practical Aspects

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Order before 4pm today for delivery by Wed 21 Jan 2026.

A Hardback by Dan A Simovici

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    View other formats and editions of Clustering: Theoretical And Practical Aspects by Dan A Simovici

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 12/08/2021
    ISBN13: 9789811241192, 978-9811241192
    ISBN10: 9811241198
    Also in:
    Machine learning

    Description

    Book Synopsis
    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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