predict.clusterSVM

The function applies a model (classification) produced by the 
 <code>clusterSVM</code> function to every row of a data matrix and returns the model predictions.

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

predict.clusterSVM function

<dl><dt>object</dt>
<dd>Object of class "clusterSVM", created by <code>clusterSVM</code>.</dd>
<dt>newdata</dt>
<dd>An n x p matrix containing the new input data. Could be a matrix or a sparse matrix object.</dd>
<dt>cluster.predict</dt>
<dd>a function predict new labels on newdata.</dd>
<dt>...</dt>
<dd>other parameters passing to <code>predict.LiblineaR</code></dd></dl>

Arguments

Predictions with Clustered Support Vector Machines — predict.clusterSVM

<dl>

<dt>object</dt>
<dd>Object of class "clusterSVM", created by <code>clusterSVM</code>.</dd>


<dt>newdata</dt>
<dd>An n x p matrix containing the new input data. Could be a matrix or a sparse matrix object.</dd>


<dt>cluster.predict</dt>
<dd>a function predict new labels on newdata.</dd>


<dt>...</dt>
<dd>other parameters passing to <code>predict.LiblineaR</code></dd>

</dl>

predict.clusterSVM: Predictions with Clustered Support Vector Machines

Description

Usage

Arguments