Deakin University
Browse

CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities

Version 2 2024-06-04, 12:11
Version 1 2021-09-01, 00:00
journal contribution
posted on 2024-06-04, 12:11 authored by Ye ZhuYe Zhu, KM Ting, MJ Carman, M Angelova
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities

History

Related Materials

  1. 1.
    DOI - Is version of https://doi.org/10.1016/j.patcog.2021.107977

Language

English

Author URL

Publication classification

C1 Refereed article in a scholarly journal

Journal

Pattern Recognition

Volume

117

Article number

ARTN 107977

ISSN

0031-3203

eISSN

1873-5142

Publisher

ELSEVIER SCI LTD

Usage metrics

    Research Publications

    Categories

    Keywords

    Science & TechnologyTechnologyComputer Science, Artificial IntelligenceEngineering, Electrical & ElectronicComputer ScienceEngineeringDensity-ratioDensity-based clusteringInhomogeneous cluster densitiesScalingShiftkNN Anomaly detectionNORMALIZATION4605 Data management and data science

    Licence

    All Rights Reserved

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC