mgc.distance: Distance
In mgc: Multiscale Graph Correlation

A function that returns a distance matrix given a collection of observations.

1	mgc.distance(X, method = "euclidean")

`X`	`[n x d]` a data matrix for `d` samples of `d` variables.
`method`	the method for computing distances. Defaults to `'euclidean'`. See dist for details. Also includes a "ohe" option, which one-hot-encodes the matrix when computing distances.

a [n x n] distance matrix indicating the pairwise distances between all samples passed in.

Eric Bridgeford

mgc documentation built on July 1, 2020, 7:09 p.m.

mgc index

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description