An overview of mapping techniques for exploratory pattern analysis
type: Item
instance of: scholarly article
title: An overview of mapping techniques for exploratory pattern analysis
zbMATH Open document ID: 0644.62070
DOI: 10.1016/0031-3203(88)90001-5
author: Wojciech Siedlecki
author: Kinga Siedlecka
author: Jack Sklansky
published in: Pattern Recognition
publication date: 1988-01-01T00:00:00Z
review text: We present an extensive review of mapping techniques for exploratory pattern analysis. We place these techniques in eight major groups. Among them is our own innovation - the least squares mapping. We also introduce a method that accelerates and increases the precision of mappings based on the Fisher discriminant. In a sequel, to be published in this journal, we describe experiments that show that mapping techniques can be a versatile and powerful tool for cluster analysis and classifier design.
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 4050794
zbMATH Keywords: linear mappings
zbMATH Keywords: principal component mappings
zbMATH Keywords: generalized declustering mapping
zbMATH Keywords: projection pursuit mappings
zbMATH Keywords: triangulation mapping
zbMATH Keywords: k-nearest- neighbor mapping
zbMATH Keywords: cluster analysis
zbMATH Keywords: pattern classifiers
zbMATH Keywords: exploratory data analysis
zbMATH Keywords: review of mapping techniques
zbMATH Keywords: exploratory pattern analysis
zbMATH Keywords: least squares mapping
zbMATH Keywords: Fisher discriminant
MaRDI profile type: Publication
full work available at URL: 0031-3203(88)90001-5
OpenAlex ID: W2028646462
cites work: Projection pursuit
cites work: An Optimal Discriminant Plane
cites work: Q5617459
cites work: Application of the Karhunen-Loève Expansion to Feature Selection and Ordering
cites work: A Projection Pursuit Algorithm for Exploratory Data Analysis
cites work: A Declustering Criterion for Feature Extraction in Pattern Recognition
cites work: Q3217459
cites work: A Fast-Converging Algorithm for Nonlinear Mapping of High-Dimensional Data to a Plane
cites work: A Heuristic Relaxation Method for Nonlinear Mapping in Cluster Analysis
cites work: Experiments on mapping techniques for exploratory pattern analysis
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description: scientific article; zbMATH DE number 4050794