Explore Bhattacharyya and/or Mahalanobis distance as a method to decontaminate the cluster region

[Gabriel-p]

See:

• Mahalanobis distance

Mahalanobis distance is widely used in cluster analysis and classification techniques. It is closely related to Hotelling's T-square distribution used for multivariate statistical testing and Fisher's Linear Discriminant Analysis that is used for supervised classification.

• Robust covariance estimation and Mahalanobis distances relevance

Notice that:

• Bhattacharyya distance

It is used to measure the separability of classes in classification and it is considered to be more reliable than the Mahalanobis distance, as the Mahalanobis distance is a particular case of the Bhattacharyya distance when the standard deviations of the two classes are the same.