C# Class Coon.Compass.Procyon.alglib.alglib.clustering

Afficher le fichier Open project: dbaileychess/Compass

Méthodes publiques

Méthode	Description
_pexec_clusterizergetdistances ( double xy, int npoints, int nfeatures, int disttype, double &d ) : void
_pexec_clusterizerrunahc ( clusterizerstate s, ahcreport rep ) : void
clusterizercreate ( clusterizerstate s ) : void
clusterizergetdistances ( double xy, int npoints, int nfeatures, int disttype, double &d ) : void
clusterizergetkclusters ( ahcreport rep, int k, int &cidx, int &cz ) : void
clusterizerrunahc ( clusterizerstate s, ahcreport rep ) : void
clusterizerrunkmeans ( clusterizerstate s, int k, kmeansreport rep ) : void
clusterizerseparatedbycorr ( ahcreport rep, double r, int &k, int &cidx, int &cz ) : void
clusterizerseparatedbydist ( ahcreport rep, double r, int &k, int &cidx, int &cz ) : void
clusterizersetahcalgo ( clusterizerstate s, int algo ) : void
clusterizersetdistances ( clusterizerstate s, double d, int npoints, bool isupper ) : void
clusterizersetkmeanslimits ( clusterizerstate s, int restarts, int maxits ) : void
clusterizersetpoints ( clusterizerstate s, double xy, int npoints, int nfeatures, int disttype ) : void
kmeansgenerateinternal ( double xy, int npoints, int nvars, int k, int maxits, int restarts, int &info, double &ccol, bool needccol, double &crow, bool needcrow, int &xyc ) : void

Private Methods

Méthode	Description
clusterizerrunahcinternal ( clusterizerstate s, double &d, ahcreport rep ) : void
evaluatedistancematrixrec ( double xy, int nfeatures, int disttype, double d, int i0, int i1, int j0, int j1 ) : void
selectcenterpp ( double xy, int npoints, int nvars, double &centers, bool &busycenters, int ccnt, double &d2, double &p, double &tmp ) : bool

Method Details

_pexec_clusterizergetdistances() public static méthode

public static _pexec_clusterizergetdistances ( double xy, int npoints, int nfeatures, int disttype, double &d ) : void
xy	double
npoints	int
nfeatures	int
disttype	int
d	double
Résultat	void

_pexec_clusterizerrunahc() public static méthode

public static _pexec_clusterizerrunahc ( clusterizerstate s, ahcreport rep ) : void
s	clusterizerstate
rep	ahcreport
Résultat	void

clusterizercreate() public static méthode

public static clusterizercreate ( clusterizerstate s ) : void
s	clusterizerstate
Résultat	void

clusterizergetdistances() public static méthode

public static clusterizergetdistances ( double xy, int npoints, int nfeatures, int disttype, double &d ) : void
xy	double
npoints	int
nfeatures	int
disttype	int
d	double
Résultat	void

clusterizergetkclusters() public static méthode

public static clusterizergetkclusters ( ahcreport rep, int k, int &cidx, int &cz ) : void
rep	ahcreport
k	int
cidx	int
cz	int
Résultat	void

clusterizerrunahc() public static méthode

public static clusterizerrunahc ( clusterizerstate s, ahcreport rep ) : void
s	clusterizerstate
rep	ahcreport
Résultat	void

clusterizerrunkmeans() public static méthode

public static clusterizerrunkmeans ( clusterizerstate s, int k, kmeansreport rep ) : void
s	clusterizerstate
k	int
rep	kmeansreport
Résultat	void

clusterizerseparatedbycorr() public static méthode

public static clusterizerseparatedbycorr ( ahcreport rep, double r, int &k, int &cidx, int &cz ) : void
rep	ahcreport
r	double
k	int
cidx	int
cz	int
Résultat	void

clusterizerseparatedbydist() public static méthode

public static clusterizerseparatedbydist ( ahcreport rep, double r, int &k, int &cidx, int &cz ) : void
rep	ahcreport
r	double
k	int
cidx	int
cz	int
Résultat	void

clusterizersetahcalgo() public static méthode

public static clusterizersetahcalgo ( clusterizerstate s, int algo ) : void
s	clusterizerstate
algo	int
Résultat	void

clusterizersetdistances() public static méthode

public static clusterizersetdistances ( clusterizerstate s, double d, int npoints, bool isupper ) : void
s	clusterizerstate
d	double
npoints	int
isupper	bool
Résultat	void

clusterizersetkmeanslimits() public static méthode

public static clusterizersetkmeanslimits ( clusterizerstate s, int restarts, int maxits ) : void
s	clusterizerstate
restarts	int
maxits	int
Résultat	void

clusterizersetpoints() public static méthode

public static clusterizersetpoints ( clusterizerstate s, double xy, int npoints, int nfeatures, int disttype ) : void
s	clusterizerstate
xy	double
npoints	int
nfeatures	int
disttype	int
Résultat	void

kmeansgenerateinternal() public static méthode

public static kmeansgenerateinternal ( double xy, int npoints, int nvars, int k, int maxits, int restarts, int &info, double &ccol, bool needccol, double &crow, bool needcrow, int &xyc ) : void
xy	double
npoints	int
nvars	int
k	int
maxits	int
restarts	int
info	int
ccol	double
needccol	bool
crow	double
needcrow	bool
xyc	int
Résultat	void