An overview of mapping techniques for exploratory pattern analysis

DOI10.1016/0031-3203(88)90001-5zbMath0644.62070OpenAlexW2028646462MaRDI QIDQ1102668

Wojciech Siedlecki, Kinga Siedlecka, Jack Sklansky

Publication date: 1988

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

Full work available at URL: https://doi.org/10.1016/0031-3203(88)90001-5

zbMATH Keywords

cluster analysisexploratory data analysislinear mappingsexploratory pattern analysisFisher discriminantgeneralized declustering mappingk-nearest- neighbor mappingleast squares mappingpattern classifiersprincipal component mappingsprojection pursuit mappingsreview of mapping techniquestriangulation mapping

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10)

Related Items (3)

Boosting neural network feature extraction by reduced accuracy activation functions ⋮ Experiments on mapping techniques for exploratory pattern analysis ⋮ Modelling of chaotic time series using a variable-length windowing approach

Cites Work

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• Experiments on mapping techniques for exploratory pattern analysis
• Projection pursuit
• A Declustering Criterion for Feature Extraction in Pattern Recognition
• A Fast-Converging Algorithm for Nonlinear Mapping of High-Dimensional Data to a Plane
• A Projection Pursuit Algorithm for Exploratory Data Analysis
• Application of the Karhunen-Loève Expansion to Feature Selection and Ordering
• An Optimal Discriminant Plane
• A Heuristic Relaxation Method for Nonlinear Mapping in Cluster Analysis

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