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Clustering: Theoretical And Practical Aspects
Dan A Simovici
出版World Scientific, 2021-08-03
主題Computers / Data Science / Machine LearningComputers / Artificial Intelligence / Expert SystemsComputers / Programming / AlgorithmsComputers / Artificial Intelligence / General
ISBN981124121X9789811241215
URLhttp://books.google.com.hk/books?id=52o-EAAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋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.