cluster_tab

Split a dtm into two clusters with reinert algorithm

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>.

Julien Barnier

rainette

The Reinert Method for Textual Data Clustering

Florian Privé

cluster_tab function

<dl><dt>dtm</dt>
<dd>to be split, passed by <code>rainette</code></dd>
<dt>cc_test</dt>
<dd>maximum contingency coefficient value for the
feature to be kept in both groups.</dd>
<dt>tsj</dt>
<dd>minimum feature frequency in the dtm</dd></dl>

Arguments

Split a dtm into two clusters with reinert algorithm — cluster_tab

<dl>

<dt>dtm</dt>
<dd>to be split, passed by <code>rainette</code></dd>


<dt>cc_test</dt>
<dd>maximum contingency coefficient value for the
feature to be kept in both groups.</dd>


<dt>tsj</dt>
<dd>minimum feature frequency in the dtm</dd>

</dl>

cluster_tab: Split a dtm into two clusters with reinert algorithm

Description

Usage

Value

Arguments

Details