mfbox_kernelica_run.m

来自「toolbox for spm 5 for data, model free a」· M 代码 · 共 73 行

function [params,A,W,S]=mfbox_kernelica_run(X,mask,params,runflag)
% run kernel based ica
%
% Usage:
%  [params,A,W,S]=mfbox_kernelica_run(X,mask,params,runflag)
%
%  X       - (NxT) data
%  mask    - data mask (XxYxZ) with sum(mask(:))==N
%  params  - struct with
%            numComponents    - number of components
%            maxNumIterations - max number of iterations
%            epsilon          - epsilon
%            kerneltype       - kernel type
%                               GeneticGaussPearson
%                               GeneticPolyPearson
%                               GeneticGaussJade
%  runflag - -1 get default parameter
%             0 interactive ask parameters
%             1 interactive ask parameters and run
%             2 run
%
% Copyright by Peter Gruber and Fabian J. Theis
% Signal Processing & Information Theory group
% Institute of Biophysics, University of Regensburg, Germany
% Homepage: http://research.fabian.theis.name
%           http://www-aglang.uni-regensburg.de
%
% This file is free software, subject to the 
% GNU GENERAL PUBLIC LICENSE, see gpl.txt

error(nargchk(1,4,nargin));
error(nargchk(1,4,nargout));

A = [];
W = [];
S = [];

s = size(X);
dim = s(1:(end-1));
if (length(dim)==1), dim = [dim,1]; end
n = s(end);

if (nargin<2), mask = logical(ones(dim)); end
if (nargin<3), params = []; end
if (nargin<4), runflag = 1; end

params = mfbox_checkparam(params,'mf','kernelica', ...
    struct('numComponents',10,'numComponents_min',1, ...
    'numComponents_max',20,'numComponents_type','int', ...
    'maxNumIterations',100,'maxNumIterations_min',10, ...
    'maxNumIterations_max',400,'maxNumIterations_type', ...
    'int','epsilon',0.0001,'epsilon_min',0.00001, ...
    'epsilon_max',0.1,'epsilon_type','float', ...
    'kerneltype','GeneticGaussPearson','kerneltype_choices', ...
    {{'GeneticGaussPearson','GeneticPolyPearson','GeneticGaussJade'}}, ...
    'kerneltype_type','choice'),'experimental');

if (abs(runflag-0.5)<1)
    if (exist('OCTAVE_HOME')~=5)% matlab
        params = mfbox_kernelicag(X,mask,params,runflag);
    elseif (exist('OCTAVE_HOME')==5) %octave
        [params,runflag] = mfbox_getparam(params,runflag);
    end
end

if (runflag>0 && isstruct(params))
    X = reshape(X,[],n);
    S = mfbox_kernelica(X', ...
        params.numComponents,params.kerneltype);
    if (nargout>1), A = X'*S; end
    if (nargout>2), W = pinv(A); end
end