Methodically unified procedures for a conditional approach to outlier detection, clustering, and classification

DOI10.1016/j.ins.2020.08.122zbMath1484.62078OpenAlexW3087128108WikidataQ112251773 ScholiaQ112251773MaRDI QIDQ2127130

Krystian Franus, Piotr Kulczycki

Publication date: 19 April 2022

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

Full work available at URL: https://doi.org/10.1016/j.ins.2020.08.122

zbMATH Keywords

classificationclusteringdata analysisdata miningnumerical algorithmsconditional approachoutlier detectiondistribution-free methods

Mathematics Subject Classification ID

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

Uses Software

• KernSmooth
• DENCLUE
• IsolationForest

Cites Work

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• Springer Handbook of Computational Intelligence
• An algorithm for conditional multidimensional parameter identification with asymmetric and correlated losses of under- and overestimations
• Data Mining

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