Factor Analysis of Incidence Data via Novel Decomposition of Matrices

DOI10.1007/978-3-642-01815-2_8zbMath1248.68474OpenAlexW2123642387MaRDI QIDQ3630237

Vilem Vychodil, Radim Bělohlávek

Publication date: 3 June 2009

Published in: Formal Concept Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-01815-2_8

Mathematics Subject Classification ID

Knowledge representation (68T30)

Related Items (10)

Heterogeneous formal context and its decomposition by heterogeneous fuzzy subsets ⋮ Avoiding flatness in factoring ordinal data ⋮ Selection of appropriate bonds between \(\mathcal{L}\)-fuzzy formal contexts for recommendation tasks ⋮ Optimal decompositions of matrices with grades into binary and graded matrices ⋮ Knowledge reduction in formal contexts using non-negative matrix factorization ⋮ Factorization with Hierarchical Classes Analysis and with Formal Concept Analysis ⋮ Triadic concept lattices in the framework of aggregation structures ⋮ Optimal triangular decompositions of matrices with entries from residuated lattices ⋮ Factor analysis of ordinal data via decomposition of matrices with grades ⋮ Factoring a band matrix over a semiring

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