Nearest Centroid Classifier with Outlier Removal for Classification
نویسندگان
چکیده
منابع مشابه
Improved nearest centroid classifier with shrunken distance measure for null LDA method on cancer classification problem
Null linear discriminant analysis (LDA) is a well-known dimensionality reduction technique for the small sample size problem. When the null LDA technique projects the samples to a lower dimensional space, the covariance matrices of individual classes become zero, i.e. all the projected vectors of a given class merge into a single vector. In this case, only the nearest centroid classifier (NCC) ...
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ژورنال
عنوان ژورنال: Journal of Information Technology and Computer Science
سال: 2020
ISSN: 2540-9824,2540-9433
DOI: 10.25126/jitecs.202051162