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RISOn means algorithm with the use of Mahalanobis distances
A dissimilarity based on relevant population features
Can the bounds in the multivariate Chebyshev inequality be attained?
Software defect prediction using over-sampling and feature extraction based on Mahalanobis distance
with different classes (cannot-link) stay away as far as possible.
To achieve the mentioned objectives, in this paper, we use Mahalanobis distance in two manners. First, the minority class is oversampled based on the Mahalanobis distance such that generated...
Outlier detection for support vector machine using minimum covariance determinant estimator
in the SVM classification problem. However, due to the computational reasons such as convenience and rapidity, a robust Mahalanobis distance based on the minimum covariance determinant estimator is utilized. This method has a good compatibility by the data...
An outlier pruning preprocessing approach for support vector machine
robust measure, namely the Mahalanobis distance based on the re-weighted minimum covariance determinant estimator. The so called method, "outlier map" is very popular in the multivariate robust statistics. It can be use to depict the structure of the data...