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拉普拉斯特征映射算法,MATLAB編寫。

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代碼片段和文件信息

function?mappedX=?LE(X?no_dims?k?sigma)
%LAPLACIAN_EIGEN?Performs?non-linear?dimensionality?reduction?using?Laplacian?Eigenmaps
%
%???[mappedX?mapping]?=?laplacian_eigen(X?no_dims?k?sigma?eig_impl)
%
%?Performs?non-linear?dimensionality?reduction?using?Laplacian?Eigenmaps.
%?The?data?is?in?matrix?X?in?which?the?rows?are?the?observations?and?the
%?columns?the?dimensions.?
%?The?reduced?data?is?returned?in?the?matrix?mappedX.

????if?~exist(‘no_dims‘?‘var‘)
????????no_dims?=?2;
????end
????if?~exist(‘k‘?‘var‘)
????????k?=?12;
????end
if?~exist(‘sigma‘?‘var‘)
sigma?=?1;
????end
??
????%?Construct?neighborhood?graph
????disp(‘Constructing?neighborhood?graph...‘);
????if?size(X?1)?????????G?=?squareform(pdist(X?‘euclidean‘));
????????%?Compute?neighbourhood?graph
???????

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

?????文件???????2006??2015-05-03?15:15??LE.m

-----------?---------??----------?-----??----

?????????????????2006????????????????????1


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