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这是用matlab编的谱聚类程序

% Support Vector Machine Toolbox
% Version 3.0-July-2001  
%
% Support Vector Classification
%
%   svc          - Calculate support vectors for classification
%   svcplot      - Plot 2 dimensional classification problem
%   svcoutput    - Calculate output from input data 
%   svcerror     - Calculate error from input and output data 
%   uiclass      - graphical user interface for classification
%
%Complex Support Vector Classification
%   comsvctwocon         - Compute complex supports vectors for classification
%                          with two constraints.
%   comsvctwoconoutput   - Compute output of Complex SVC with two constraints.
%   comsvctwoconplot     - plot 2 figures (real and imaginary)
%                          of 1 dimensional complex classification problem
%
%   comsvcrealcon        - Compute complex supports vectors for classification
%                          with real constraint.
%   comsvcrealconoutput  - Compute output of Complex SVC with real constraint.
%   comsvcrealconplot    - plot 1 figures (real part)
%                          of 1 dimensional complex classification problem
%
%   comsvcimagcon        - Compute complex supports vectors for classification
%                          with imaginary constraint.
%   comsvcimagconoutput  - Compute output of Complex SVC with imaginary constraint.
%   comsvcimagconplot    - plot 1 figures (imaginary part)
%                          of 1 dimensional complex classification problem
%
% Support Vector Regression
%
%   svr          - Calculate support vectors for regression
%   svrplot      - Plot 1 dimensional regression problem
%   svroutput    - Calculate output from input data 
%   svrerror     - Calculate error from input and output data 
%   uiregress    - graphical user interface for regression

%
% Kernel function
%
%   svkernel     - kernel function
%   nobias       - determine if kernel has no implicit bias
%   svdatanorm   - Normalise data to appropriate interval for kernel
%
% __________________________________________________________________
%
%  Zhou Weida([e-mail])  
%  Key Laboratory of Radar Signal Processing
%  Xidian University