CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities
Version 2 2024-06-04, 12:11Version 2 2024-06-04, 12:11
Version 1 2021-04-09, 07:58Version 1 2021-04-09, 07:58
journal contribution
posted on 2021-09-01, 00:00 authored by Ye ZhuYe Zhu, K M Ting, M J Carman, Maia Angelova TurkedjievaCDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities
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Journal
Pattern RecognitionVolume
117Article number
ARTN 107977Publisher
ELSEVIER SCI LTDPublisher DOI
ISSN
0031-3203eISSN
1873-5142Language
EnglishPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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Keywords
Science & TechnologyTechnologyComputer Science, Artificial IntelligenceEngineering, Electrical & ElectronicComputer ScienceEngineeringDensity-ratioDensity-based clusteringInhomogeneous cluster densitiesScalingShiftkNN Anomaly detectionNORMALIZATIONInformation SystemsArtificial Intelligence and Image Processing
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