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/428849/8834745
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/362246/10010239
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