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Principal Component Analysis Based on T$\ell_1$-norm Maximization
Classical principal component analysis (PCA) may suffer from the sensitivity to outliers and noise.
A general model for plane-based clustering with loss function
In this paper, we propose a general model for plane-based clustering.
Insensitive Stochastic Gradient Twin Support Vector Machine for Large Scale Problems
In this paper, stochastic gradient descent algorithm is investigated to twin support vector machines for classification.
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