Cluster analysis in retail segmentation for credit scoring

DOI10.17535/CRORR.2014.0010zbMath1329.62290OpenAlexW1978034686MaRDI QIDQ3455969

Nataša Šarlija, Sanja Scitovski

Publication date: 11 December 2015

Published in: Croatian Operational Research Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.17535/crorr.2014.0010

zbMATH Keywords

cluster analysisdata miningsegmentationcredit scoringdata classificationadaptive Mahalanobis clusteringmost appropriate number of clusters

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70) Credit risk (91G40)

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