//------------------------------------------------------------------------
// Print summary of execution
//------------------------------------------------------------------------
void printSummary(
const KMlocal& theAlg, // the algorithm
const KMdata& dataPts, // the points
KMfilterCenters& ctrs) // the centers
{
cout << "Number of stages: " << theAlg.getTotalStages() << "\n";
cout << "Average distortion: " <<
ctrs.getDist(false)/double(ctrs.getNPts()) << "\n";
// print final center points
cout << "(Final Center Points:\n";
ctrs.print();
cout << ")\n";
// get/print final cluster assignments
KMctrIdxArray closeCtr = new KMctrIdx[dataPts.getNPts()];
double* sqDist = new double[dataPts.getNPts()];
ctrs.getAssignments(closeCtr, sqDist);
*kmOut << "(Cluster assignments:\n"
<< " Point Center Squared Dist\n"
<< " ----- ------ ------------\n";
for (int i = 0; i < dataPts.getNPts(); i++) {
*kmOut << " " << setw(5) << i
<< " " << setw(5) << closeCtr[i]
<< " " << setw(10) << sqDist[i]
<< "\n";
}
*kmOut << ")\n";
delete [] closeCtr;
delete [] sqDist;
}
//------------------------------------------------------------------------
// Print summary of execution
//------------------------------------------------------------------------
void printSummary(
const KMlocal& theAlg, // the algorithm
const KMdata& dataPts, // the points
KMfilterCenters& ctrs) // the centers
{
ofstream out; // output data file stream
out.open("output3.txt",ios::out);
if(!out){ // si l'ouverture a échoué
cerr << "Impossible d'ouvrir le fichier erreur2" << endl;
exit(0);
}
out << "Number of stages: " << theAlg.getTotalStages() << "\n";
out << "Average distortion: " <<
ctrs.getDist(false)/double(ctrs.getNPts()) << "\n";
// print final center points
out << "(Final Center Points:\n";
ctrs.print();
out << ")\n";
// get/print final cluster assignments
KMctrIdxArray closeCtr = new KMctrIdx[dataPts.getNPts()];
double* sqDist = new double[dataPts.getNPts()];
ctrs.getAssignments(closeCtr, sqDist); // obligé d'avoir la distance ?
out << "(Cluster assignments:\n"
<< "Point Center :\n"
<< "----- ------ \n";
for (int i = 0; i < dataPts.getNPts(); i++) {
out << setw(5) << i
<< setw(5) << closeCtr[i]
<< "\n";
}
out << ")\n";
delete [] closeCtr;
delete [] sqDist;
out.close(); // on ferme le fichier
}
static void initDistGlobals( // initialize distortion globals
KMfilterCenters& ctrs) // the centers
{
initBasicGlobals(ctrs.getDim(), ctrs.getNPts(), ctrs.getDataPts());
kcKCtrs = ctrs.getK();
kcCenters = ctrs.getCtrPts(); // get ptrs to KMcenter arrays
kcWeights = ctrs.getWeights(false);
kcSums = ctrs.getSums(false);
kcSumSqs = ctrs.getSumSqs(false);
kcDists = ctrs.getDists(false);
kcBoxMidpt = kmAllocPt(kcDim);
for (int j = 0; j < kcKCtrs; j++) { // initialize sums
kcWeights[j] = 0;
kcSumSqs[j] = 0;
for (int d = 0; d < kcDim; d++) {
kcSums[j][d] = 0;
}
}
}
//------------------------------------------------------------------------
// Print summary of execution
//------------------------------------------------------------------------
void printSummary(const KMlocal& theAlg, // the algorithm
const KMdata& dataPts, // the points
KMfilterCenters& ctrs) // the centers
{
double dbval, xbval;
dbval = ctrs.getDBIndex();
xbval = ctrs.getXBIndex();
FILE* logfp = fopen("kmean.log", "wt");
fprintf(logfp, "Number of stages: %d\n", theAlg.getTotalStages());
fprintf(logfp, "Average distortion: %g\n", ctrs.getDist(false)/double(ctrs.getNPts()));
fprintf(logfp, "DB-index: %g\n", dbval);
fprintf(logfp, "XB-index: %g\n", xbval);
cout << "Number of stages: " << theAlg.getTotalStages() << "\n";
cout << "Average distortion: " <<
ctrs.getDist(false)/double(ctrs.getNPts()) << "\n";
cout << "DB-index = " << dbval << "\n";
cout << "XB-index = " << xbval << "\n";
KMctrIdxArray closeCtr = new KMctrIdx[dataPts.getNPts()];
double* sqDist = new double[dataPts.getNPts()];
ctrs.getAssignments(closeCtr, sqDist);
int* hist = new int[ctrs.getK()];
memset(hist, 0, sizeof(int) * ctrs.getK() );
for(int i=0; i < dataPts.getNPts(); i++ )
{
int k = closeCtr[i];
hist[k] ++;
}
KMpoint kpt;
for(int i=0; i< ctrs.getK(); i++ )
{
fprintf(logfp, "%3d-th, #%5d ", i, hist[i]);
// print final center points
kpt = ctrs[i];
fprintf(logfp, " [");
for (int j = 0; j < ctrs.getDim(); j++)
{
fprintf(logfp, "%7g ", kpt[j]);
}
fprintf(logfp, " ]\n");
}
fclose(logfp);
// write to fea-file
CFeaFileWriter theFeaWriter;
char saveName[256];
sprintf(saveName, "kmain_%s", infname.c_str() );
theFeaWriter.openFile(saveName);
FEA_FILE_HEADER feaHeader;
feaHeader.nVersion = FEA_FILE_VERSION;
feaHeader.nRecords = ctrs.getK();
feaHeader.nFeaDim = ctrs.getDim();
feaHeader.nElemType = ELEM_TYPE_FLOAT;
feaHeader.nElemSize = sizeof(float);
feaHeader.bIndexTab = 0;
feaHeader.bVarLen = 0;
sprintf(feaHeader.szFeaName, "kmean codebook");
theFeaWriter.setFileHeader(feaHeader);
float* pFea = new float[ctrs.getDim()];
for(int i=0; i< ctrs.getK(); i++ )
{
// save final center points
kpt = ctrs[i];
for (int j = 0; j < ctrs.getDim(); j++)
pFea[j] = kpt[j];
theFeaWriter.writeRecordAt(pFea, i);
}
theFeaWriter.flush2Disk();
theFeaWriter.closeFile();
theFeaWriter.releaseMemory();
delete [] pFea;
delete [] closeCtr;
delete [] sqDist;
delete [] hist;
}