predict.clusterSVM

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

object

An n x p matrix containing the new input data. Could be a matrix or a sparse matrix object.

newdata

a function predict new labels on newdata.

cluster.predict

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

The function applies a model (classification or regression) 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.

predict.clusterSVM: Predictions with Clustered Support Vector Machines

Description

Usage

Arguments