Dimensionality reduction for heterogeneous dataset in rushes editing

DOI10.1016/J.PATCOG.2008.06.016zbMath1181.68248OpenAlexW1978842471MaRDI QIDQ1005610

Yang Liu, Keith C. C. Chan, Yan Liu

Publication date: 9 March 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.06.016

zbMATH Keywords

dimensionality reductionmanifold learningisometric feature mappingmulti-layer isometric feature mappingrushes editing

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (1)

An incremental classification algorithm for mining data with feature space heterogeneity

Uses Software

• clusfind

Cites Work

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• Hierarchical clustering schemes
• Finding Groups in Data
• Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching
• Self-organizing maps.

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