Timeline for Why does an imbalanced data set badly effect distance measures like Mahalanobis?
Current License: CC BY-SA 4.0
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| Mar 17, 2021 at 22:57 | comment | added | Jimonty | Hi, I believe it is possible to define the Mahalanobis distance as a dissimilarity/distance measure between two means, X and Y, of distributions. In my case, this is in 2D scores space. X would be the mean of PCA scores for one class, Y the other. Using the distance between two means gives a measure for the distance between two distributions. This literature, in particular the methods section, explains it very well: ncbi.nlm.nih.gov/pmc/articles/PMC3534867 | |
| Mar 17, 2021 at 22:13 | history | edited | Jimonty | CC BY-SA 4.0 |
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| S Mar 17, 2021 at 20:42 | history | suggested | WBM | CC BY-SA 4.0 |
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| Mar 17, 2021 at 20:20 | comment | added | Gaurav Chawla | could you please elaborate on: "When I calculate the Mahalanobis distance between each class"? Like previously stated Mahalanobis Distance is the distance between a point and a distribution . How are you using it to measure the distance between two classes? | |
| Mar 17, 2021 at 15:19 | review | Suggested edits | |||
| S Mar 17, 2021 at 20:42 | |||||
| Mar 17, 2021 at 14:18 | vote | accept | Jimonty | ||
| Mar 17, 2021 at 13:46 | answer | added | Kirill Fedyanin | timeline score: 1 | |
| Mar 17, 2021 at 11:05 | review | First posts | |||
| Mar 17, 2021 at 15:19 | |||||
| Mar 17, 2021 at 11:04 | history | asked | Jimonty | CC BY-SA 4.0 |