Kernel independent component analysis for discrimination
基于判别式的核独立元分析*

Kernel independent component analysis(KICA) is a kernel method which has been rapidly developed in recent years and has been widely used in various kinds of fields.However,it was difficult to apply it to fault diagnosis.The aim of this paper was to improve KICA method to adapt the question.First,two kinds KICA,one was based on constrained cova-riance(COCO) measure which called KICA2,the other was based on kernel mutual information(KMI) measure which called KICA3,reformed to suit for classification or fault ...