Introducing a covariance matrix can allow for correlations in data when calculating the Mahalanobis version of this. For binary data, the Hamming version calculates this based off the number of common 1's. Minkowski gave the generalized version, for which the Manhattan or ci
Introducing a covariance matrix can allow for correlations in data when calculating the Mahalanobis version of this. For binary data, the Hamming version calculates this based off the number of common 1's. Minkowski gave the generalized version, for which the Manhattan or city block version is the specialized case when the exponent is one. For 10 points, what is this metric most commonly calculated using the Euclidean method, for which you take the square root of the sum of the squares of the differences of each component of two points.
Introducing a covariance matrix can allow for correlations in data when calculating the Mahalanobis version of this.
{distance}