Computes the pairwise Mahalanobis distances using a robustly estimated covariance matrix,
which can be more resistant to outliers.
Arguments
- X
Numeric matrix where rows represent observations and columns represent variables.
- dist_obj
A list that might include additional parameters for distance computation,
currently unused.
Value
An object of class `dist` containing the computed robust Mahalanobis distances.
Examples
X <- matrix(rnorm(100), 10, 10)
dist_matrix <- pairwise_dist.robustmahadist(list(), X)
#> Error in pairwise_dist.robustmahadist(list(), X): could not find function "pairwise_dist.robustmahadist"