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htm demglm2.htm

Netlab Reference Manual demglm2 demglm2 Purpose Demonstrate simple classification using a generalized linear model. Synopsi
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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
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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
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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
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asv cerror.asv

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
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html knn1.html

R: 1-nearest neighbour classification
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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
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asv cerror.asv

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
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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 %