keel.Algorithms.Preprocess.Missing_Values.kmeansImpute

Class kmeansImpute

java.lang.Object

keel.Algorithms.Preprocess.Missing_Values.kmeansImpute.kmeansImpute

public class kmeansImpute
extends java.lang.Object

This class imputes the missing values by means of the K-means clustering algorithm. It creates a set of K clusters, and the missing values are filled in with the required values of the nearest centroid.

Constructor Summary

Constructors

Constructor and Description
kmeansImpute(java.lang.String fileParam) Creates a new instance of kmeansImpute

Method Summary

Modifier and Type	Method and Description
void	process() Process the training and test files provided in the parameters file to the constructor.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

kmeansImpute

public kmeansImpute(java.lang.String fileParam)

Creates a new instance of kmeansImpute

Parameters:

fileParam - The path to the configuration file with all the parameters in KEEL format

Method Detail

process

public void process()

Process the training and test files provided in the parameters file to the constructor.