Linear Algebra Tools for Data Mining

DOI10.1142/8360zbMath1246.15001OpenAlexW4301934874MaRDI QIDQ3114170

Dan A. Simovici

Publication date: 31 January 2012

Full work available at URL: https://doi.org/10.1142/8360

zbMATH Keywords

modulespattern recognitioneigenvaluesconvexitylearning theorytextbookdeterminantssimilarityinner productMATLABgraphsinteractive systemnormssingular valuesnumerical linear algebradata miningmatrix theorycomputer sciencespectralinear algebra\(k\)-means algorithmspectral clusteringprinciple component analysisleast squares approximationbiplotssample matrices

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Computational learning theory (68Q32) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Learning and adaptive systems in artificial intelligence (68T05) Determinants, permanents, traces, other special matrix functions (15A15) Pattern recognition, speech recognition (68T10) Eigenvalues, singular values, and eigenvectors (15A18) Norms of matrices, numerical range, applications of functional analysis to matrix theory (15A60) Numerical linear algebra (65Fxx) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to linear algebra (15-01)

Related Items (1)

A New Lower Bound on the Size of the Smallest Vertex Separator of a Graph

Uses Software

• GraphDemo
• Unnamed Item

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