bootstrapHclust

Hierarchical Clustering with distance matrix computed using bootstrap replicates

It implements a new procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data (Grimonprez et al. (2023) <doi:10.18637/jss.v106.i03>).

Quentin Grimonprez

MLGL

Multi-Layer Group-Lasso

Samuel Blanck

Alain Celisse

Guillemette Marot

Yi Yang

Hui Zou

bootstrapHclust function

<dl><dt>X</dt>
<dd>data</dd>
<dt>frac</dt>
<dd>fraction of sample used at each replicate</dd>
<dt>B</dt>
<dd>number of replicates</dd>
<dt>method</dt>
<dd>desired method: "single", "complete", "average", "mcquitty", "ward.D", "ward.D2", "centroid", "median".</dd>
<dt>nCore</dt>
<dd>number of cores</dd></dl>

Arguments

Hierarchical Clustering with distance matrix computed using bootstrap replicates — bootstrapHclust

<dl>

<dt>X</dt>
<dd>data</dd>


<dt>frac</dt>
<dd>fraction of sample used at each replicate</dd>


<dt>B</dt>
<dd>number of replicates</dd>


<dt>method</dt>
<dd>desired method: "single", "complete", "average", "mcquitty", "ward.D", "ward.D2", "centroid", "median".</dd>


<dt>nCore</dt>
<dd>number of cores</dd>

</dl>

bootstrapHclust: Hierarchical Clustering with distance matrix computed using bootstrap replicates

Description

Usage

Value

Arguments

Examples