Assessing the performance of classifiers when classes arise from a continuum

DOI10.1016/j.csda.2003.09.010zbMath1429.62255OpenAlexW2037111575MaRDI QIDQ956974

Bjørn-Helge Mevik

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2003.09.010

zbMATH Keywords

classificationmeasurement errorprobability of misclassificationclasses arising from a continuummisallocated class labelssquared error rate

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items

New modifications and applications of fuzzy \(C\)-means methodology

Uses Software

• bootstrap

Cites Work

• Bayes discrimination with mean square error loss
• Linear Discriminant Analysis with Misallocation in Training Samples
• Discriminant Analysis When the Initial Samples Are Misclassified II: Non-Random Misclassification Models
• Asymptotic Results for Discriminant Analysis When the Initial Samples Are Misclassified
• Supervised classification with structured class definitions.
• Unnamed Item
• Unnamed Item
• Unnamed Item