cluster

Wrapper function for different clustering methods

Fits the Multivariate Cluster Elastic Net (MCEN) presented in Price & Sherwood (2018) <arXiv:1707.03530>. The MCEN model simultaneously estimates regression coefficients and a clustering of the responses for a multivariate response model. Currently accommodates the Gaussian and binomial likelihood.

Ben Sherwood

mcen

Multivariate Cluster Elastic Net

cluster function

<dl><dt>x</dt>
<dd>data to be clustered. Clustering will be done on the columns.</dd>
<dt>cNum</dt>
<dd>number of cluster centers</dd>
<dt>clusterMethod</dt>
<dd>"kmean" for kmeans function, "kmeanspp" for kcca implementation of kmeans++</dd>
<dt>clusterIterations</dt>
<dd>number of maximum iterations for clustering</dd>
<dt>clusterStartNum</dt>
<dd>random number of starting points used</dd></dl>

Arguments

Ben Sherwood &lt;ben.sherwood@ku.edu&gt;, Brad Price &lt;brad.price@mail.wvu.edu&gt;

Author

Wrapper function for different clustering methods — cluster

<dl>

<dt>x</dt>
<dd>data to be clustered. Clustering will be done on the columns.</dd>


<dt>cNum</dt>
<dd>number of cluster centers</dd>


<dt>clusterMethod</dt>
<dd>"kmean" for kmeans function, "kmeanspp" for kcca implementation of kmeans++</dd>


<dt>clusterIterations</dt>
<dd>number of maximum iterations for clustering</dd>


<dt>clusterStartNum</dt>
<dd>random number of starting points used</dd>

</dl>

cluster: Wrapper function for different clustering methods

Description

Usage

Value

Arguments

Author