Calculates an adjusted for chance Rand index.

multivariate

cluster

classif

An implementation of 14 parsimonious mixture models for model-based clustering or model-based classification. Gaussian, Student's t, generalized hyperbolic, variance-gamma or skew-t mixtures are available. All approaches work with missing data. Celeux and Govaert (1995) <doi:10.1016/0031-3203(94)00125-6>, Browne and McNicholas (2014) <doi:10.1007/s11634-013-0139-1>, Browne and McNicholas (2015) <doi:10.1002/cjs.11246>.

Paul McNicholas

mixture

Mixture Models for Clustering and Classification

Nik Pocuca

Ryan P. Browne

Paul D. McNicholas

ARI function

<dl> <dt>x</dt>
<dd>predictor class memberships</dd> <dt>y</dt>
<dd>true class memberships</dd>
</dl>

Arguments

Nik Pocuca, Ryan P. Browne and Paul D. McNicholas.
Maintainer: Paul D. McNicholas &lt;mcnicholas@math.mcmaster.ca&gt;

Author

Adjusted Rand Index — ARI

<dl>

 <dt>x</dt>
<dd>predictor class memberships</dd>

 <dt>y</dt>
<dd>true class memberships</dd>


</dl>

ARI: Adjusted Rand Index

Description

Usage

Arguments

Author

Examples