What a histogram can really tell the classifier

DOI10.1016/0031-3203(78)90006-7zbMath0392.62044OpenAlexW2046070533MaRDI QIDQ1251876

G. E. Lowitz, G. Leboucher

Publication date: 1978

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0031-3203(78)90006-7

zbMATH Keywords

EntropyFisherShannonClustering EntropyClustering TechniqueInter-Class ZonesMinimal Channel CapacityNatural ClassesPartitioning of Data HistogramSelf Information

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Nonparametric hypothesis testing (62G10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Numerical optimization and variational techniques (65K10)

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