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Max-Margin Feature Selection
In this paper, we formulate the task of feature selection as a one class SVM problem in a space where features correspond to the data points and instances correspond to the dimensions.
Integrating K-means with Quadratic Programming Feature Selection
One of the popular ways to reduce the dimensionality of the data is to perform feature selection, i. e, select a subset of relevant and non-redundant features.
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