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main.cpp
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main.cpp
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#include <iostream>
#include <vector>
#include <stdlib.h>
#include "KMeans.h"
using namespace std;
typedef vector<double> datarow;
typedef vector<datarow*> dataframe;
/**
* Read the train data
*/
dataframe* readData()
{
dataframe* df = new dataframe();
for ( unsigned i = 0; i < 50; ++i )
{
// create a row
datarow * row = new datarow();
// populate row with 3 columns
row->push_back ( i * 5 );
row->push_back ( i * 1.5 );
row->push_back ( i * rand() );
// add row
df->push_back(row);
}
return df;
}
/**
* Read the test data
*/
dataframe* readTestData()
{
dataframe* df = new dataframe();
for ( unsigned i = 0; i < 20; ++i )
{
datarow* row = new datarow();
row->push_back ( i * 5 );
row->push_back ( i * 1 );
row->push_back ( i * rand() );
df->push_back(row);
}
return df;
}
int main()
{
dataframe* df = readData();
// search 3 clusters in max 100 iterations
KMeans km( df, 3 );
// train model
km.execute(100);
// read test
dataframe* test = readTestData();
// get predictions of test
vector<unsigned> pred = km.predict(test);
// print predictions
for ( unsigned i=0; i < pred.size(); ++i )
{
for ( unsigned j=0; j < test->at(i)->size(); ++j )
{
cout << test->at(i)->at(j) << ",";
}
cout << " cluster " << pred[i];
cout << endl;
}
// delete data frames
delete test;
delete df;
return 0;
}