Linear Algebra Tools For Data Mining

Dan A Simovici (Autor)

Buch | Hardcover

880 Seiten

2012
World Scientific Publishing Co Pte Ltd (Verlag)
978-981-4383-49-3 (ISBN)

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Linear algebra has gained increasing importance in data mining and pattern recognition, as shown by the many data mining publications, and has a strong impact in other disciplines like psychology, chemistry, and biology. This title presents the foundations of linear algebra ideas and techniques applied to data mining and related fields.

This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear algebra has gained increasing importance in data mining and pattern recognition, as shown by the many current data mining publications, and has a strong impact in other disciplines like psychology, chemistry, and biology. The basic material is accompanied by more than 550 exercises and supplements, many accompanied with complete solutions and MATLAB applications.

Modules and Linear Spaces; Matrices; MATLAV; Determinants; Norms on Linear Spaces; Inner Product Spaces; Convexity; Eigenvalues; Similarity and Spectra; Singular Values; Graphs and Matrices; Data Sample Matrices; Least Squares Approximation and Data Mining; Dimensionality Reduction Techniques; The K-Means Clustering Algorithm; Spectral Properties of Graphs and Spectral Clustering.

Verlagsort	Singapore
Sprache	englisch
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
ISBN-10	981-4383-49-X / 981438349X
ISBN-13	978-981-4383-49-3 / 9789814383493
Zustand	Neuware