Dimensionality Reduction of High-Dimensional Data with a NonLinear Principal Component Aligned Generative Topographic Mapping

DOI10.1137/130931382zbMath1418.62135OpenAlexW2027027919MaRDI QIDQ2878942

Alexander Hullmann, Michael Griebel

Publication date: 5 September 2014

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/d8fd17dc7d27c6e82c5b5142a765e34f734d1218

zbMATH Keywords

classificationprincipal component analysisdensity estimationdimensionality reductionadditive modelgenerative topographic mapping

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Density estimation (62G07) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

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