csvmTransform

Transform a data matrix according to the kmeans clustering result based on 
 Gu, Quanquan, and Jiawei Han. "Clustered support vector machines."

Three ensemble learning algorithms based on support vector machines.
They all train support vector machines on subset of data and combine the result.

Tong He

SwarmSVM

Ensemble Learning Algorithms Based on Support Vector Machines

csvmTransform function

<dl><dt>x</dt>
<dd>The data matrix, could be a <code>matrix</code> or <code>dgCMatrix</code> object.</dd>
<dt>lambda</dt>
<dd>The parameter from the algorithm</dd>
<dt>cluster.label</dt>
<dd>The clustering label starting from 1. Its length must equal to the number of rows in <code>x</code></dd>
<dt>sparse</dt>
<dd>Logical argument indicating whether the output should be a sparse matrix or not</dd></dl>

Arguments

Data Transformation function for Clustered Support Vector Machine — csvmTransform

<dl>

<dt>x</dt>
<dd>The data matrix, could be a <code>matrix</code> or <code>dgCMatrix</code> object.</dd>


<dt>lambda</dt>
<dd>The parameter from the algorithm</dd>


<dt>cluster.label</dt>
<dd>The clustering label starting from 1. Its length must equal to the number of rows in <code>x</code></dd>


<dt>sparse</dt>
<dd>Logical argument indicating whether the output should be a sparse matrix or not</dd>

</dl>

csvmTransform: Data Transformation function for Clustered Support Vector Machine

Description

Usage

Arguments