File(s) under permanent embargo
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities
journal contribution
posted on 2021-09-01, 00:00 authored by Ye ZhuYe Zhu, K M Ting, M J Carman, Maia Angelova TurkedjievaMaia Angelova TurkedjievaCDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities
History
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
Categories
Keywords
Science & TechnologyTechnologyComputer Science, Artificial IntelligenceEngineering, Electrical & ElectronicComputer ScienceEngineeringDensity-ratioDensity-based clusteringInhomogeneous cluster densitiesScalingShiftkNN Anomaly detectionNORMALIZATIONInformation SystemsArtificial Intelligence and Image Processing
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC