
Linear Algebra Tools For Data Mining
Dan A. Simovici(Author)
World Scientific Publishing Co Pte Ltd
Published on 14. July 2023
Book
Hardback
1004 pages
978-981-12-7033-8 (ISBN)
Description
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.
More details
Edition
Second Edition
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 58 mm
Weight
1570 gr
ISBN-13
978-981-12-7033-8 (9789811270338)
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Schweitzer Classification