agglomblock

Agglomerate the two block-components which are closest
 according to the specified <code>cluster</code>ing method.

multivariate

Simple Component Analysis (SCA) often provides much more
interpretable components than Principal Components (PCA) while still
representing much of the variability in the data.

Martin Maechler

Simple Component Analysis

agglomblock function

<dl> <dt>S</dt>
<dd>correlation/covariance matrix</dd> <dt>P</dt>
<dd>component matrix</dd> <dt>cluster</dt>
<dd>character specifying the clustering method; default
 <code>"median"</code>, see <code>sca(*, cluster=)</code>.</dd></dl>

Arguments

Agglomerate Two Block-Components in SCA — agglomblock

<dl>

 <dt>S</dt>
<dd>correlation/covariance matrix</dd>

 <dt>P</dt>
<dd>component matrix</dd>

 <dt>cluster</dt>
<dd>character specifying the clustering method; default
 <code>"median"</code>, see <code>sca(*, cluster=)</code>.</dd>

</dl>

agglomblock: Agglomerate Two Block-Components in SCA

Description

Usage

Value

Arguments

See Also