Least squares projection twin support vector clustering (LSPTSVC)
نویسندگان
چکیده
منابع مشابه
Feature selection for least squares projection twin support vector machine
In this paper, we propose a new feature selection approach for the recently proposed Least Squares Projection Twin Support Vector Machine (LSPTSVM) for binary classification. 1-norm is used in our feature selection objective so that only non-zero elements in weight vectors will be chosen as selected features. Also, the Tikhonov regularization term is incorporated to the objective of our approac...
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ژورنال
عنوان ژورنال: Information Sciences
سال: 2020
ISSN: 0020-0255
DOI: 10.1016/j.ins.2020.05.001