findK

Same function as found in `cluster` package.

The gap statistic approach is extended to estimate the number of clusters for categorical response format data. This approach and accompanying software is designed to be used with the output of any clustering algorithm and with distances specifically designed for categorical (i.e. multiple choice) or ordinal survey response data.

Eduardo Cortes

DiscreteGapStatistic

An Extension of the Gap Statistic for Ordinal/Categorical Data

Jeffrey Miecznikowski

findK function

<dl><dt>cG_obj</dt>
<dd>Output object obtained from `clusGapDiscr`</dd>
<dt>meth</dt>
<dd>Method to use to determine optimal k number of clusters.</dd></dl>

Arguments

Criteria to determine number of clusters k — findK

<dl>

<dt>cG_obj</dt>
<dd>Output object obtained from `clusGapDiscr`</dd>


<dt>meth</dt>
<dd>Method to use to determine optimal k number of clusters.</dd>

</dl>

findK: Criteria to determine number of clusters k

Description

Usage

Value

Arguments