Linear Algebra Tools for Data Mining

By:

Simovici, Dan A

Material type:

TextPublication details: Singapore, World Scientific Publishing Company 2023Edition: 2nd EdDescription: 985pISBN:

9789811270338

DDC classification:

006.3 SIM-L

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Item type	Current library	Collection	Call number	Status	Barcode
Book	Air University Kharian Campus Library Cyber Security	Computer Science	006.3 SIM-L (Browse shelf(Opens below))	Available	AUKHP0401

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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.

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