Clustering - Theoretical and Practical Aspects, un livre de Dan A. Simovici,
Une critique de Thibaut Cuvelier
Le 2022-03-15 02:17:26, par dourouc05, Responsable Qt & Livres
Clustering
Theoretical and Practical Aspects
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.
[Lire la suite]
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.
[Lire la suite]
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