代码搜索:GDA

找到约 247 项符合「GDA」的源代码

代码结果 247
www.eeworm.com/read/289743/8530053

m gda.m

function mappedX = gda(X, Y, no_dims, varargin) %GDA Perform Generalized Discriminant Analysis % % mappedX = gda(X, Y, no_dims) % mappedX = gda(X, Y, no_dims, kernel) % mappedX = gda(X, Y, no_dim
www.eeworm.com/read/289487/8548716

m gda.m

function [Xt,Xapp,Alpha,kM,valBeta,wM]=gda(xi,yi,X,nbclass,kernel,kerneloption,ndimfin) % USAGE % [Xt,Xapp,Alpha,kM]=gda(xi,yi,X,nbclass,kernel,kerneloption,ndimfin) % % This function is a sc
www.eeworm.com/read/428849/8833973

html gda.html

gda.m
www.eeworm.com/read/428849/8833983

html gda.html

Contents.m
www.eeworm.com/read/428849/8834745

m gda.m

function model = gda(data,options) % GDA Generalized Discriminant Analysis. % % Synopsis: % model = gda(data) % model = gda(data,options) % % Description: % This function is implimentatio
www.eeworm.com/read/428269/8880528

m gda.m

function [Xt,Xapp,Alpha,kM,valBeta,wM]=gda(xi,yi,X,nbclass,kernel,kerneloption,ndimfin) % USAGE % [Xt,Xapp,Alpha,kM]=gda(xi,yi,X,nbclass,kernel,kerneloption,ndimfin) % % This function is a sc
www.eeworm.com/read/282683/9074277

m gda.m

function mappedX = gda(X, Y, no_dims, varargin) %GDA Perform Generalized Discriminant Analysis % % mappedX = gda(X, Y, no_dims) % mappedX = gda(X, Y, no_dims, kernel) % mappedX = gda(X, Y, no_dim
www.eeworm.com/read/362246/10009597

html gda.html

gda.m
www.eeworm.com/read/362246/10009604

html gda.html

Contents.m
www.eeworm.com/read/362246/10010239

m gda.m

function model = gda(data,options) % GDA Generalized Discriminant Analysis. % % Synopsis: % model = gda(data) % model = gda(data,options) % % Description: % This function is implimentatio