keel.Algorithms.Clustering_Algorithms.ClusterKMeans

Class ClusterKMeans

java.lang.Object

keel.Algorithms.Clustering_Algorithms.ClusterKMeans.ClusterKMeans

public class ClusterKMeans
extends java.lang.Object

ClusterKMeans is a class to cluterize a dataset using the k-means clustering algorithm. The initial centroids are chosen randomly between the examples in the dataset. Each centroid is updated as the mean value of its nearest examples in the dataset. The k-means algorithm is carried out by the KMEans class, while ClusterKMeans acts as the interface with the KEEL environment.

Constructor Summary

Constructors

Constructor and Description
ClusterKMeans()

Method Summary

Modifier and Type	Method and Description
static void	main(java.lang.String[] args) This public static method runs the algorithm that this class concerns with.

Methods inherited from class java.lang.Object

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

Constructor Detail

ClusterKMeans

public ClusterKMeans()

Method Detail

main

public static void main(java.lang.String[] args)

This public static method runs the algorithm that this class concerns with.

Parameters:

args - Array of strings to sent parameters to the main program. The path of the algorithm's parameters file must be given.