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What is One-Class Nearest Neighbour Analysis about?

This article discusses one-class classification (OCC) problems, focusing on a one-class nearest neighbour (OCNN) approach for detecting unseen negative class samples. It presents theoretical analyses, various OCNN methods, and ensemble techniques to optimize classification performance using benchmark and real-world datasets. The findings indicate that OCNN with random projection ensembles outperforms single OCNN methods in various applications, including fraud detection and machine fault diagnosis.

Author

dineshreddyz93

Language

EN