mahal.dist {emu} | R Documentation |
Calculates mahalanobis distances
mahal.dist(data, train, labels = NULL)
data |
A matrix of numerical data points. |
labels |
A vector of labels.. |
train |
A gaussian model as returned by the train function.
|
The train
function finds the centroids and covariance matrices for a
set of data and corresponding labels: one per unique label. This
function can be used to find the mahalanobis distance of every data
point in a dataset to each of the class centroids. The columns of the
resulting matrix are marked with the label of the centroid to which
they refer. The function mahal
should be used if you want to find
the closest centroid to each data point.
A matrix of distances with one column for every class (label) in the gaussian model.
train, mahal, bayes.lab, bayes.dist