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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Langue Anglais ● Format EPUB ● Pages 884 ● ISBN 9789811241215 ● Taille du fichier 66.0 MB ● Maison d’édition World Scientific Publishing Company ● Lieu Singapore ● Pays SG ● Publié 2021 ● Téléchargeable 24 mois ● Devise EUR ● ID 7949029 ● Protection contre la copie Adobe DRM
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