代码搜索：classification
找到约 3,679 项符合「classification」的源代码
代码结果 3,679
www.eeworm.com/read/167735/9953607
m wscatter.m
function SW = wscatter(x,c);
% WSCATTER(x,c) = within-cluster scatter matrix
% SW = wscatter(x,c)
% x - data
% c - classification
% SW - within scatter matrix
% Copyright (c) 1995 Frank Dellaert
%
www.eeworm.com/read/362246/10010407
m contents.m
% Generalized Anderson's task.
%
% andrerr - Classification error of the Generalized Anderson's task.
% androrig - Original method to solve the Anderson's task.
% eanders - Epsilon-solutio
www.eeworm.com/read/362246/10010415
m~ contents.m~
% Algorithms to solve the Generalized Anderson's task.
%
% andrerr - Classification error of the Generalized Anderson's task.
% androrig - Original method to solve the Anderson's task.
% ean
www.eeworm.com/read/163251/10168556
help kohen_example.help
"kohen_example.cpp" Help File
Purpose: Demonstrates the classification
of 4 (25x25) bitmap letters through the
use of a self-organizing kohen network.
Also demonstrates the use of a radius with
www.eeworm.com/read/280604/10304659
m wscatter.m
function SW = wscatter(x,c);
% WSCATTER(x,c) = within-cluster scatter matrix
% SW = wscatter(x,c)
% x - data
% c - classification
% SW - within scatter matrix
% Copyright (c) 1995 Frank Dellaert
%
www.eeworm.com/read/280595/10311941
m cerror.m
function error=cerror(y1,y2,label)
% CERROR Computes classification error.
%
% Synopsis:
% error = cerror(y1,y2)
% error = cerror(y1,y2,label)
%
% Description:
% error = cerror(y1,y2) returns clas
www.eeworm.com/read/280595/10312325
m contents.m
% Generalized Anderson's task.
%
% andrerr - Classification error of the Generalized Anderson's task.
% androrig - Original method to solve the Anderson's task.
% eanders - Epsilon-solutio
www.eeworm.com/read/280595/10312339
m~ contents.m~
% Algorithms to solve the Generalized Anderson's task.
%
% andrerr - Classification error of the Generalized Anderson's task.
% androrig - Original method to solve the Anderson's task.
% ean
www.eeworm.com/read/349415/10828311
help kohen_example.help
"kohen_example.cpp" Help File
Purpose: Demonstrates the classification
of 4 (25x25) bitmap letters through the
use of a self-organizing kohen network.
Also demonstrates the use of a radius with