//***********************************************************************
// k_means.cpp
//
//   this is an implementationof the K-meanss classification algorithm. 
//   it accepts one attribute and measures the 
//
// INPUTS: (from disk file)
//        control.dat - control file - space delimited
//             k value & datafile name
//
//        datafile.in - classification set
//             attribute count - don't include the classification in
//                                 the count
//             data - space delimited
//
// OUTPUTS: (to disk file)
//        datafile.out - space delimited
//             test instance
//             k-nearest classification neighbor instances
//
//***********************************************************************
//  WARNING: none
//
//***********************************************************************
// IMPLEMENTATION NOTE: all files are in the executable working directory
//
//***********************************************************************
// created by: j. aleshunas
// created on: 9 nov 04
// modified on: 12 nov 04
//
// © 2004 John Aleshunas
//
//***********************************************************************

#include "k_means.h"

void main(void) {

	// local variables
	Cluster_set clCluster_set_instance;

	// start the clustering program
	clCluster_set_instance.Execute_clustering( );

	return;
} // k_means