Enhancing point symmetry-based distance for data clustering

DOI10.1007/S00500-016-2477-3zbMath1398.62170OpenAlexW2588067878MaRDI QIDQ1797744

Sriparna Saha

Publication date: 22 October 2018

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-016-2477-3

zbMATH Keywords

symmetryclusteringpoint symmetry-based distancegenetic algorithm based clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• MOCK
• WEKA

Cites Work

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• The parameter-less genetic algorithm in practice
• Faster and more robust point symmetry-based K-means algorithm
• GAPS: A clustering method using a new point symmetry-based distance measure
• Genetic clustering for automatic evolution of clusters and application to image classification
• A symmetry based multiobjective clustering technique for automatic evolution of clusters
• Optimal Expected-Time Algorithms for Closest Point Problems
• An Algorithm for Finding Best Matches in Logarithmic Expected Time
• Unsupervised Classification

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