An incremental density-based clustering framework using fuzzy local clustering

DOI10.1016/j.ins.2020.08.052zbMath1479.62043OpenAlexW3071522575MaRDI QIDQ2056290

Sirisup Laohakiat, Vera Sa-ing

Publication date: 2 December 2021

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

Full work available at URL: https://doi.org/10.1016/j.ins.2020.08.052

zbMATH Keywords

fuzzy clusteringdensity-based clusteringincremental clusteringstream data clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multivariate analysis and fuzziness (62H86)

Related Items (2)

Clustering mixed numerical and categorical data with missing values ⋮ QuickDSC: clustering by quick density subgraph estimation

Uses Software

• k-means++
• KDD Cup

Cites Work

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• A novel edge-weight based fuzzy clustering method for change detection in SAR images
• Global discriminative-based nonnegative spectral clustering
• Introduction to Information Retrieval
• A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms

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