An R implementation of the Reinert text clustering method. For more
details about the algorithm see the included vignettes or Reinert (1990)
<doi:10.1177/075910639002600103>.

The Reinert Method for Textual Data Clustering

package-ubuntu-20.04-r-4.0.5#cran#rainette-0.1.3

<table summary="R argblock">
<tr valign="top">
<td><code>tree</code></td>
<td>
<p>the hclust tree object to be cut</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>arguments passed to other methods</p>
</td>
</tr>
</table>

<p>If <code>tree</code> is of class <code>rainette</code>, invokes <code><a href="cutree_rainette.html">cutree_rainette()</a></code>. Otherwise, just run <code><a href="../../stats/html/cutree.html">stats::cutree()</a></code>.
</p>

package-ubuntu-20.04-r-4.0.5#cran#rainette-0.1.3#docs#cutree

cutree

Description

Usage

Arguments

Details

Value

rainette

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`tree`	the hclust tree object to be cut
`...`	arguments passed to other methods