summary.vscc

Dedicated summary function for objects of class vscc

Performs variable selection/feature reduction under a clustering or
classification framework. In particular, it can be used in an automated fashion
using mixture model-based methods ('teigen' and 'mclust' are currently supported).
Can account for mixtures of non-Gaussian distributions via Manly transform (via 'ManlyMix').
See Andrews and McNicholas (2014) <doi:10.1007/s00357-013-9139-2> and Neal and McNicholas (2023)
<doi:10.48550/arXiv.2305.16464>.

Paul McNicholas

vscc

Variable Selection for Clustering and Classification

Jeffrey L. Andrews

Mackenzie R. Neal

Paul D. McNicholas

summary.vscc function

<dl> <dt>object</dt>
<dd>An object of class vscc</dd><dt>...</dt>
<dd>Additional arguments to be passed</dd></dl>

Arguments

Author

Summary for VSCC Objects — summary.vscc

<dl>

 <dt>object</dt>
<dd>An object of class vscc</dd>

<dt>...</dt>
<dd>Additional arguments to be passed</dd>

</dl>

summary.vscc: Summary for VSCC Objects

Description

Usage

Value

Arguments

Author

See Also

Examples