bConverged | CKmeans | |
bUseInitialValue | CKmeans | |
CalcJe() | CKmeans | |
CalcNewClustCenters() | CKmeans | |
CalcSampleDev(int ClustID) | CKmeans | |
CKmeans(int nPat, int patDim, int size_vector, bool dyn, int num) | CKmeans | |
CKmeans() | CKmeans | |
Cluster | CKmeans | |
ConditionSatisfied(double diff, int iDem) | CKmeans | |
constraint | CKmeans | |
def_stdDev | CKmeans | |
DistributeSamples() | CKmeans | |
DynNumCluster | CKmeans | |
EucNorm(int, int) | CKmeans | [inline] |
FindClosestCluster(int, double &) | CKmeans | |
InitClusterCenter(bool useinitalcenter) | CKmeans | |
Initiate() | CKmeans | |
Je | CKmeans | |
maxRange | CKmeans | |
NumClusters | CKmeans | |
NumPatterns | CKmeans | |
Pattern | CKmeans | |
PatVectorDim | CKmeans | |
Reset() | CKmeans | |
RunKMeans(int maxiteration=0, bool flag=false) | CKmeans | |
runtime | CKmeans | |
SetBound4EachDim(double *boundarray) | CKmeans | |
SetConstraint(int Dim, double c) | CKmeans | |
SetDefaultStdDev(CTArray< double > &def) | CKmeans | |
SetDynamic(BOOL, int) | CKmeans | |
SetInitialValue(const CTMatrix< double > &) | CKmeans | |
SizeVector | CKmeans | |
~CKmeans() | CKmeans | [virtual] |