/** Reports the results obtained */
public void printReport() {
writeOutput(outFile[0], trainOutput, trainPrediction);
writeOutput(outFile[1], testOutput, testPrediction);
ReportTool.setResults(trainOutput, trainPrediction, testOutput, testPrediction, nClasses);
ReportTool.printReport();
/*
DecimalFormat nf4;
nf4 = (DecimalFormat) DecimalFormat.getInstance();
nf4.setMaximumFractionDigits(4);
nf4.setMinimumFractionDigits(0);
DecimalFormatSymbols dfs = nf4.getDecimalFormatSymbols();
dfs.setDecimalSeparator('.');
nf4.setDecimalFormatSymbols(dfs);
String text="\n\n====================\n";
text+="Prototypes:\n";
for(int i=0;i<centroids.length;i++){
if(nInstances[i]>0){
text+=(i+1)+": ";
for(int j=0;j<inputAtt;j++){
text+= " "+nf4.format(centroids[i][j]);
}
text+="\n";
}
}
text+="\n\nReference set membership:\n";
for(int i=0;i<referenceData.length;i++){
text+=(i+1)+": ";
for(int j=0;j<nClasses;j++){
text+="Class "+(j+1)+": "+nf4.format(membership[i][j])+"\t";
}
text+="\n";
}
/*text+="\n\nTest set membership:\n";
for(int i=0;i<testData.length;i++){
text+=(i+1)+": ";
for(int j=0;j<nClasses;j++){
text+="Class "+(j+1)+": "+nf4.format(testMembership[i][j])+"\t";
}
text+="\n";
}
ReportTool.addToReport(text);*/
} // end-method
/**
* Main builder. Initializes the methods' structures
*
* @param script Configuration script
*/
public FCMKNN(String script) {
readDataFiles(script);
// Naming the algorithm
name = "Fuzzy C-Means K-NN";
centroids = new double[nClasses][inputAtt];
membership = new double[trainData.length][nClasses];
referenceMembership = new double[referenceData.length][nClasses];
testMembership = new double[testData.length][nClasses];
// Initialization of random generator
Randomize.setSeed(seed);
// Initialization of Reporting tool
ReportTool.setOutputFile(outFile[2]);
} // end-method
