fix: broken links
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//! # Mahalanobis Distance
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//! # Mahalanobis Distance
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//!
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//!
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//! The Mahalanobis distance (MD) is the distance between two points in multivariate space.
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//! The Mahalanobis distance (MD) is the distance between two points in multivariate space.
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//! In a regular Euclidean space the distance between any two points can be measured with [Euclidean distance](euclidian/index.html).
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//! In a regular Euclidean space the distance between any two points can be measured with [Euclidean distance](../euclidian/index.html).
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//! For uncorrelated variables, the Euclidean distance equals the MD. However, if two or more variables are correlated the measurements become impossible
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//! For uncorrelated variables, the Euclidean distance equals the MD. However, if two or more variables are correlated the measurements become impossible
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//! with Euclidean distance because the axes are no longer at right angles to each other. MD on the other hand, is scale-invariant,
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//! with Euclidean distance because the axes are no longer at right angles to each other. MD on the other hand, is scale-invariant,
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//! it takes into account the covariance matrix of the dataset when calculating distance between 2 points that belong to the same space as the dataset.
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//! it takes into account the covariance matrix of the dataset when calculating distance between 2 points that belong to the same space as the dataset.
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