minMD

minMD calculates the Mahalanobis distance to each cluster and returns the Mahalanobis distance to the closest cluster.

Provides a function to detect and trim outliers in Gaussian mixture model-based clustering using methods described in Clark and McNicholas (2024) <doi:10.1007/s00357-024-09473-3>.

Katharine M. Clark

oclust

Gaussian Model-Based Clustering with Outliers

Paul D. McNicholas

minMD function

<dl><dt>X</dt>
<dd>A matrix or data frame of the data.</dd>
<dt>sigs</dt>
<dd>A list of cluster variance matrices</dd>
<dt>mus</dt>
<dd>A list of cluster mean vectors</dd></dl>

Arguments

Minimum Mahalanobis Distance — minMD

<dl>

<dt>X</dt>
<dd>A matrix or data frame of the data.</dd>


<dt>sigs</dt>
<dd>A list of cluster variance matrices</dd>


<dt>mus</dt>
<dd>A list of cluster mean vectors</dd>

</dl>

minMD: Minimum Mahalanobis Distance

Description

Usage

Value

Arguments

Details