Mahalanobis Distance
Tags: #machine learning #mahalanobisEquation
$$D_{M}(x,y)=\sqrt{(x-y)^{T}\Sigma^{-1}(x-y)}$$Latex Code
D_{M}(x,y)=\sqrt{(x-y)^{T}\Sigma^{-1}(x-y)}
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Introduction
Equation
Latex Code
D_{M}(x,y)=\sqrt{(x-y)^{T}\Sigma^{-1}(x-y)}
Explanation
Mahalanobis Distance is a distance measure between a data point and dataset of a distribution. See website for more details Mahalanobis Distance
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