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 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
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.
218.0 In Stock
Clustering: Theoretical And Practical Aspects

Clustering: Theoretical And Practical Aspects

by Dan A Simovici
Clustering: Theoretical And Practical Aspects

Clustering: Theoretical And Practical Aspects

by Dan A Simovici

Hardcover

$218.00 
  • SHIP THIS ITEM
    In stock. Ships in 1-2 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


Overview

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.

Product Details

ISBN-13: 9789811241192
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 08/12/2021
Pages: 884
Product dimensions: 6.00(w) x 9.00(h) x 1.81(d)
From the B&N Reads Blog

Customer Reviews