SEND: a novel dissimilarity metric using ensemble properties of the feature space for clustering numerical data

DOI10.1016/j.ins.2021.05.059OpenAlexW3169003422MaRDI QIDQ6065963

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Publication date: 11 December 2023

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2021.05.059

zbMATH Keywords

entropyclusteringproximity measuredissimilaritydistance metricnumerical data

Mathematics Subject Classification ID

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

Related Items (1)

Rough set theory applied to finite dimensional vector spaces

Cites Work

• A survey on enhanced subspace clustering
• Data mining. Concepts and techniques
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• Hierarchical clustering schemes
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• External clustering validity index based on chi-squared statistical test
• A novel approach to fuzzy clustering based on a dissimilarity relation extracted from data using a TS system
• Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
• Markov blanket-embedded genetic algorithm for gene selection
• Clustering for metric and nonmetric distance measures
• Data Clustering: Theory, Algorithms, and Applications
• On clustering validation techniques

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