function?[featureseigveceigvals]?=?AFEm（Xskernel?kernel_parsXtypenbeigveceigvals）
%?Automatic?Feature?Extraction?by?Nystrom?method
%
%
%?>>?features?=?AFEm（X?kernel?sig2?Xt）
%
%?Description
%?Using?the?Nystrom?approximation?method?the?mapping?of?data?to
%?the?feature?space?can?be?evaluated?explicitly.?This?gives?the
%?features?that?one?can?use?for?a?linear?regression?or
%?classification.?The?decomposition?of?the?mapping?to?the?feature
%?space?relies?on?the?eigenvalue?decomposition?of?the?kernel
%?matrix.?The?Matlab?（‘eigs‘）?or?Nystrom‘s?（‘eign‘）?approximation
%?using?the?nb?most?important?eigenvectors/eigenvalues?can?be
%?used.?The?eigenvalue?decomposition?is?not?re-calculated?if?it?is
%?passed?as?an?extra?argument.?This?routine?internally?calls?a?cmex?file.
%
%?Full?syntax
%?
%?>>?[features?U?lam]?=?AFE（X?kernel?sig2?Xt）?
%?>>?[features?U?lam]?=?AFE（X?kernel?sig2?Xt?type）?
%?>>?[features?U?lam]?=?AFE（X?kernel?sig2?Xt?type?nb）?
%?>>?features??????????=?AFE（X?kernel?sig2?Xt?[][]?U?lam）
%?
%?Outputs????
%???features?:?Nt?x?nb?matrix?with?extracted?features
%???U（*）?????:?N?x?nb?matrix?with?eigenvectors
%???lam（*）???:?nb?x?1?vector?with?eigenvalues
%?Inputs????
%???X??????:?N?x?d?matrix?with?input?data
%???kernel?:?Name?of?the?used?kernel?（e.g.?‘RBF_kernel‘）
%???sig2???:?parameter?of?the?used?kernel
%???Xt?????:?Data?from?which?the?features?are?extracted
%???type（*）:?‘eig‘（*）?‘eigs‘?or?‘eign‘
%???nb（*）??:?Number?of?eigenvalues/eigenvectors?used?in?the?eigenvalue?decomposition?approximation
%???U（*）???:?N?x?nb?matrix?with?eigenvectors
%???lam（*）?:?nb?x?1?vector?with?eigenvalues
%?
%?See?also:
%???kernel_matrix?RBF_kernel?demo_fixedsize

%FS-LSSVMLab

%?Copyright?（c）?2010??KULeuven-ESAT-SCD?License?&?help?@?http://www.esat.kuleuven.be/sista/lssvmlab

N?=?size（X1）;
Nc?=?size（Xs1）;

eval（‘type;‘‘type=‘‘eig‘‘;‘）;
if?~（strcmp（type‘eig‘）?||?strcmp（type‘eigs‘）?||?strcmp（type‘eign‘）?）
??error（‘Type?needs?to?be?‘‘eig‘‘?‘‘eigs‘‘?or?‘‘eign‘‘...‘）;
end
??

%?eigenvalue?decomposition?to?do..
if?nargin<=7
??omega?=?kernel_matrix（Xs?kernel?kernel_pars）;
??if?strcmp（type‘eig‘）
????[eigveceigvals]?=?eig（omega+2*eye（size（omega1）））;?%?+?jitter?factor
????eigvals?=?diag（eigvals）;?
????clear?omega
??elseif?strcmp（type‘eigs‘）
????eval（‘nb;‘‘nb=min（size（omega1）10）;‘）;?options.disp?=?0;
????[eigveceigvals]?=?eigs（omega+2*eye（size（omega1））nb‘lm‘options）;?clear?omega?%?+?jitter?factor
??elseif?strcmp（type‘eign‘）
????eval（‘nb;‘‘nb=min（size（omega1）10）;‘）;?
????[eigveceigvals]?=?eign（omega+2*eye（size（omega1））nb）;?clear?omega?%?+?jitter?factor
??end
??eigvals?=?（eigvals-2）/Nc;

??peff?=?eigvals>eps;
??eigvals?=?eigvals（peff）;
??eigvec?=?eigvec（:peff）;?clear?peff
??
end?

if?strcmp（kernel‘RBF_kernel‘）
????omegaN?=?sum（X.^22）*ones（1Nc）;
????omegaN?=?omegaN?+?ones（N1）*sum（Xs.^22）‘;
????omegaN?=?omegaN?-2*X*Xs‘;?clear?X?Xs
??

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件???????3438??2010-05-11?13:52??LSSVMLab?1.6\AFEm.m

?????文件???????5950??2010-05-11?14:01??LSSVMLab?1.6\bay_errorbar.m

?????文件???????2169??2010-05-11?14:01??LSSVMLab?1.6\bay_initlssvm.m

?????文件??????10673??2010-05-11?14:01??LSSVMLab?1.6\bay_lssvm.m

?????文件???????8410??2010-05-11?14:01??LSSVMLab?1.6\bay_lssvmARD.m

?????文件???????9608??2010-05-11?14:01??LSSVMLab?1.6\bay_modoutClass.m

?????文件???????6143??2010-05-11?13:08??LSSVMLab?1.6\bay_optimize.m

?????文件???????4400??2010-05-11?13:56??LSSVMLab?1.6\bay_rr.m

?????文件???????5584??2010-05-11?13:58??LSSVMLab?1.6\changelssvm.m

?????文件???????4371??2010-05-11?14:02??LSSVMLab?1.6\code.m

?????文件???????2186??2010-05-11?14:02??LSSVMLab?1.6\codedist_bay.m

?????文件????????774??2010-05-11?14:03??LSSVMLab?1.6\codedist_hamming.m

?????文件???????2102??2010-05-11?13:59??LSSVMLab?1.6\codedist_loss.m

?????文件???????4273??2010-05-11?13:58??LSSVMLab?1.6\codelssvm.m

?????文件???????5374??2010-05-11?14:02??LSSVMLab?1.6\code_ECOC.m

?????文件????????565??2010-05-11?14:02??LSSVMLab?1.6\code_MOC.m

?????文件????????396??2010-05-11?14:02??LSSVMLab?1.6\code_OneVsAll.m

?????文件????????576??2010-05-11?13:56??LSSVMLab?1.6\code_OneVsOne.m

?????文件???????5302??2010-05-11?13:20??LSSVMLab?1.6\crossvalidate.m

?????文件???????2058??2010-05-11?13:34??LSSVMLab?1.6\crossvalidatelssvm.m

?????文件???????1960??2010-05-11?14:03??LSSVMLab?1.6\deltablssvm.m

?????文件???????3461??2010-05-11?14:03??LSSVMLab?1.6\democlass.m

?????文件???????3972??2010-05-11?13:35??LSSVMLab?1.6\demofun.m

?????文件???????4772??2010-05-11?14:07??LSSVMLab?1.6\demomodel.m

?????文件???????1639??2010-05-11?13:40??LSSVMLab?1.6\demomulticlass.m

?????文件???????2251??2010-05-11?13:06??LSSVMLab?1.6\demo_fixedclass.m

?????文件???????3233??2010-05-11?13:04??LSSVMLab?1.6\demo_fixedsize.m

?????文件???????3447??2010-05-11?13:28??LSSVMLab?1.6\demo_yinyang.m

?????文件???????3598??2010-05-11?14:08??LSSVMLab?1.6\denoise_kpca.m

?????文件???????3787??2010-05-11?13:32??LSSVMLab?1.6\eign.m

............此處省略46個文件信息