Classic: A hierarchical clustering algorithm based on asymmetric similarities

DOI10.1016/0031-3203(83)90023-7zbMath0552.62049OpenAlexW2067486846MaRDI QIDQ801622

Kazumasa Ozawa

Publication date: 1983

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

Full work available at URL: https://doi.org/10.1016/0031-3203(83)90023-7

zbMATH Keywords

classificationpattern recognitionhierarchical clusteringsimilarityCLASSICasymmetric measureasymmetric similaritiesautomatic detection of gestalt clustersiteratively defined nested sequence of the nearest neighbors relation

Mathematics Subject Classification ID

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

Related Items

Classification of asymmetric proximity data ⋮ A stratificational overlapping cluster scheme

Uses Software

• CLUSTAN

Cites Work

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• Hierarchical clustering schemes
• Numerical methods for fuzzy clustering
• Similarity relations and fuzzy orderings
• Min and max hierarchical clustering using asymmetric similarity measures
• Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
• A Clustering and Data-Reorganizing Algorithm
• Well-Separated Clusters and Optimal Fuzzy Partitions
• An Algorithm for Detecting Unimodal Fuzzy Sets and Its Application as a Clustering Technique
• An Analysis of Some Graph Theoretical Cluster Techniques
• A Criterion and an Algorithm for Grouping Data
• A Nonparametric Valley-Seeking Technique for Cluster Analysis
• An Algorithm for Nonsupervised Pattern Classification
• Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters

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