clust.concor.M

Clustering a set of variables using distance function based on multivariate concordance measures

internal

Directed Dependence Coefficient (didec) is a measure of directed dependence. Multivariate Feature Ordering by Conditional Independence (MFOCI) is a variable selection algorithm based on didec. Hierarchical Variable Clustering (VarClustPartition) is a variable clustering method based on didec. For more information, see the paper by
Ansari and Fuchs (2024, <doi:10.48550/arXiv.2212.01621>), and the paper by
Fuchs and Wang (2024, <doi:10.1016/j.ijar.2024.109185>).

Yuping Wang

didec

Directed Dependence Coefficient

Sebastian Fuchs

Jonathan Ansari

clust.concor.M function

<dl><dt>X</dt>
<dd>a data frame for vector X</dd>
<dt>method</dt>
<dd>kendall / footrule</dd></dl>

Arguments

Clustering a set of variables using distance function based on multivariate concordance measures — clust.concor.M

<dl>

<dt>X</dt>
<dd>a data frame for vector X</dd>


<dt>method</dt>
<dd>kendall / footrule</dd>

</dl>

clust.concor.M: Clustering a set of variables using distance function based on multivariate concordance measures

Description

Usage

Value

Arguments