Linear Algebra Tools For Data Mining
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A01=Dan A Simovici
Author_Dan A Simovici
Category=PBF
Category=PBW
Category=UNF
Dimensionality Reduction
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K-means Clusterings
Least Square Approximations
Linear Spaces
Multidimensional Arrays
Spectral Properties
Tensors
Product details
- ISBN 9789811270338
- Publication Date: 14 Jul 2023
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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This updated compendium provides the linear algebra background necessary to understand and develop linear algebra applications in data mining and machine learning.Basic knowledge and advanced new topics (spectral theory, singular values, decomposition techniques for matrices, tensors and multidimensional arrays) are presented together with several applications of linear algebra (k-means clustering, biplots, least square approximations, dimensionality reduction techniques, tensors and multidimensional arrays).The useful reference text includes more than 600 exercises and supplements, many with completed solutions and MATLAB applications.The volume benefits professionals, academics, researchers and graduate students in the fields of pattern recognition/image analysis, AI, machine learning and databases.
