Linear Algebra Tools for Data Mining: 2nd Edition
Simovici, Dan A
Sold by GreatBookPrices, Columbia, MD, U.S.A.
AbeBooks Seller since 6 April 2009
New - Hardcover
Condition: New
Quantity: 9 available
Add to basketSold by GreatBookPrices, Columbia, MD, U.S.A.
AbeBooks Seller since 6 April 2009
Condition: New
Quantity: 9 available
Add to basketThis 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.
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