Polsom: a new method for multidimensional data visualization

DOI10.1016/j.patcog.2009.09.025zbMath1191.68607OpenAlexW2057041027MaRDI QIDQ962749

B. E. Eshmatov

Publication date: 7 April 2010

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2009.09.025

zbMATH Keywords

visualizationclusteringself-organizing mapnonlinear mappingvisualization-induced SOM

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (2)

Similarity interaction in information-theoretic self-organizing maps ⋮ SEMISUPERVISED MULTIMODAL DIMENSIONALITY REDUCTION

Uses Software

• UCI-ml

Cites Work

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• Multi-class pattern classification using neural networks
• Self-organized formation of topologically correct feature maps
• Probabilistic Principal Component Analysis
• Adaptive Principal Surfaces
• Feature selection with neural networks
• Self-organizing maps.

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