The Mahalanobis distance calculates the distance of the observed sample in the population sample, regardless of the dimension. dism(X,Y,C) computes Mahalanobis distance between vector X and vector Y on covariance matrix C.The number of samples should greater than the number of dimensions. For example, the same sample data as above, calculate the Mahalanobis distance.

A1 Input the sample data

B1 Define an empty sequence to hold the results

A2 Calculate the covariance matrix for A1

A3:B4 Loop A1, calculate the Mahalanobis distance between the two samples, and store the result in B1. B1 returns the Mahalanobis distance matrix between the samples