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Measure of distance between distributions or variables, such as Euclidean distance between points in n-space.

2 votes
0 answers
133 views

Best approximation of the Mahalanobis distance by standardized Euclidean distance

I am looking for the best way to approximate the Mahalanobis distance by the standardized Euclidean distance, which would reduce the number of the required multiplications. …
Gideon Kogan's user avatar
3 votes
2 answers
273 views

direction of outlier detected by the Mahalanobis distance

Mahalanobis distance provides a value that might be used for the detection of outliers. My question: how to calculate the direction of the outlier (as a vector)? … A simple answer would be to use the distance between the center of the distribution and the outlier but this answer would not use the "normalization" property provided by the Mahalanobis distance... …
Gideon Kogan's user avatar
0 votes
0 answers
61 views

The meaning of probability density functions' product followed by an integration

I assume that this is meant to be used for the estimation of distance between two distributions. …
Gideon Kogan's user avatar
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direction of outlier detected by the Mahalanobis distance

The direction of the outlier could be calculated by zero phase component analysis whitening:
Gideon Kogan's user avatar