?? cluster_tca_statio.m
字號(hào):
function [W,clusters]=cluster_tca_statio(x);
% CLUSTER_TCA - Tree-dependent Component Analysis of stationary time series
% (with clustering of components)
% with default options
%
% for a function with options, seee tca_options.m
n=size(x,2);
edgeprior=4*log(n)/n;
fprintf('Tree-dependent Component Analysis - stationary signals + clusters\n')
fprintf('statio...')
[W,tree]=tca_options(x,'contrast','statio','opttype','exhaustive','whitening',1,'edgeprior',edgeprior,'display',0,'tolvar',1e-4,'tolval',1e-4);
fprintf('...')
[W,tree]=tca_options(x,'contrast','statio','opttype','localsearch','whitening',1,'W',W,'edgeprior',edgeprior,'display',0,'tolvar',1e-4,'tolval',1e-4);
% build clusters
clusters=connected_components(tree2adjmat(tree));
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