Fuzzy extensions of the DBSCAN clustering algorithm

DOI10.1007/S00500-016-2435-0zbMath1398.62165OpenAlexW2556719741MaRDI QIDQ1797796

Gloria Bordogna, Dino Ienco

Publication date: 22 October 2018

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

Full work available at URL: https://hal-lirmm.ccsd.cnrs.fr/lirmm-01399605/file/FuzzyDBScan.pdf

zbMATH Keywords

fuzzy clusteringdensity-based clusteringDBSCAN clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Reasoning under uncertainty in the context of artificial intelligence (68T37) Multivariate analysis and fuzziness (62H86)

Related Items (3)

A novel heuristic algorithm to solve penalized regression-based clustering model ⋮ Fuzzy extensions of the DBSCAN clustering algorithm ⋮ A review and proposal of (fuzzy) clustering for nonlinearly separable data

Cites Work

• Fuzzy extensions of the DBSCAN clustering algorithm
• Robustness of density-based clustering methods with various neighborhood relations

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