/
sc_plotclusters.m
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sc_plotclusters.m
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function features=plotclusters(features)
plot([-1 1],[-1 -1]+0.01,'color',[1 1 .7],'LineWidth',5);
plot([-1 -1]+0.01,[-1 1],'color',[.8 1 1],'LineWidth',5);
fill([-1 1 1 -1 ],[-1 -1 1 1] ,'b','FaceColor',[0 0 0]);
%% scale
use=zeros(1,numel(features.ts));
for i=1:features.Nclusters
if features.clustervisible(i)
incluster=find(features.clusters==i );
use(incluster)=1;
end;
end;
% this is needed only when a feature was changed
if ~exist('features.updatezoom')
features.updatezoom=1;
end;
if features.updatezoom
features.updatezoom=0;
margin=0.1;
for i=1:2%size(features.data,1) % scale only the features we're looking at
x=features.data(features.featureselects(i),:);
%x=x-min(x(find(use))); x=x./max(x(find(use))); x=x*(2-margin*2); x=x-(1-margin);
%features.data_scaled(i,:)=x;
% scale to min-max
%features.data_scaled(features.featureselects(i),:)=sc_remap (features.data(features.featureselects(i),:),min(x(find(use))),max(x(find(use))) ,-.9,.9);
% scale to zoom boundaries
features.data_scaled(features.featureselects(i),:)=sc_remap(features.data(features.featureselects(i),:), features.zoomrange(features.featureselects(i),1) , features.zoomrange(features.featureselects(i),2) ,-.9,.9);
end;
% hide out of bounds points
features.zoomvisible = ( features.data(features.featureselects(1),:) <= features.zoomrange(features.featureselects(1),2) ).* ...
( features.data(features.featureselects(1),:) >= features.zoomrange(features.featureselects(1),1) ).* ...
( features.data(features.featureselects(2),:) <= features.zoomrange(features.featureselects(2),2) ).* ...
( features.data(features.featureselects(2),:) >= features.zoomrange(features.featureselects(2),1) );
end;
% indicate if some were cut off
% right
if min(( features.data(features.featureselects(1),:) <= features.zoomrange(features.featureselects(1),2) )) ==0
for i=linspace(-.7 ,.7, 9)
plot([0 0.04]+.95,i+[0 0],'color',[.5 .5 .5]);
plot([0 -0.02]+.99,i+[0 0.01],'color',[.5 .5 .5]);
plot([0 -0.02]+.99,i-[0 0.01],'color',[.5 .5 .5]);
end;
end;
% left
if min(( features.data(features.featureselects(1),:) >= features.zoomrange(features.featureselects(1),1) )) ==0
for i=linspace(-.7 ,.7, 9)
plot([0 0.04]-.95,i+[0 0],'color',[.5 .5 .5]);
plot([0 0.02]-.95,i+[0 0.01],'color',[.5 .5 .5]);
plot([0 0.02]-.95,i-[0 0.01],'color',[.5 .5 .5]);
end;
end;
% top
if min(( features.data(features.featureselects(2),:) <= features.zoomrange(features.featureselects(2),2) )) ==0
for i=linspace(-.7 ,.7, 9)
plot(i+[0 0],[0 0.04]+.95,'color',[.5 .5 .5]);
plot(i+[0 0.01],[0 -0.02]+.99,'color',[.5 .5 .5]);
plot(i-[0 0.01],[0 -0.02]+.99,'color',[.5 .5 .5]);
end;
end;
% bottom
if min(( features.data(features.featureselects(2),:) >= features.zoomrange(features.featureselects(2),1) )) ==0
for i=linspace(-.6 ,.7, 7)
plot(i+[0 0],[0 0.04]-.95,'color',[.5 .5 .5]);
plot(i+[0 0.01],[0 0.02]-.95,'color',[.5 .5 .5]);
plot(i-[0 0.01],[0 0.02]-.95,'color',[.5 .5 .5]);
end;
end;
%% plot
%ugly bug fix - figure out where this error comes from!
if size(features.timevisible,1)>size(features.timevisible,2)
features.timevisible=features.timevisible';
end;
if size(features.ts,1)>size(features.ts,2)
features.ts=features.ts';
end;
for i=1:features.Nclusters
if features.clustervisible(i)
incluster=find(features.clusters==i .*(features.randperm<features.Ndisplay) .* features.timevisible .* features.zoomvisible);
if numel(incluster)>0
sc_plotinbox(features.data_scaled(features.featureselects(1),incluster),features.data_scaled(features.featureselects(2),incluster),features.clusterfstrs{i},features.colors(i,:),features.plotsize);
end;
% plot cluster traces
mx=[]; my=[];
if features.timeselection
nsteps=100;
timebins=linspace(features.ts(1),features.ts(end),nsteps);
for j=2:nsteps
incluster_t=find((features.clusters==i ).*(features.ts > timebins(j-1)).* (features.ts < timebins(j)));
mx(j-1)=median( features.data_scaled(features.featureselects(1),incluster_t) );
my(j-1)=median( features.data_scaled(features.featureselects(2),incluster_t) );
end;
f=normpdf([-4:4],0,2); f=f./sum(f);
mx=conv(mx,f,'valid');
my=conv(my,f,'valid');
plot(mx,my,'r-','color',features.colors(i,:),'LineWidth',4);
plot(mx,my,'r--','color',[1 1 1],'LineWidth',1);
end;
end;
end;
% plot x/y range
if isfield(features,'range')
text(-0.95,-0.9,num2str( features.zoomrange(features.featureselects(2),1) ),'color',[.5 .5 .5]);
text(-0.95,0.95,num2str( features.zoomrange(features.featureselects(2),2) ),'color',[.5 .5 .5]);
text(-0.9,-0.95,num2str( features.zoomrange(features.featureselects(1),1) ),'color',[.5 .5 .5]);
text(0.9,-0.95,num2str( features.zoomrange(features.featureselects(1),2) ),'color',[.5 .5 .5]);
end;
if features.highlight>0
plot( features.data_scaled(features.featureselects(1),features.highlight),features.data_scaled(features.featureselects(2),features.highlight),'wo','MarkerSize',8);
%plot( features.data(features.featureselects(1),features.highlight),features.data(features.featureselects(2),features.highlight),'ko','MarkerSize',9);
if features.plotgroup
plot( features.data_scaled(features.featureselects(1),features.highlight_multiple),features.data_scaled(features.featureselects(2),features.highlight_multiple),'wo','MarkerSize',6,'color',[.6 .6 .6]);
end;
end;
% plot zoom button
plot([1 .9 ],[.9,1],'b','color',[1 1 1]);
xx=[]; yy=[];
for i=linspace(0,7,20)
xx(end+1)= sin(i)*.01;
yy(end+1)= cos(i)*.01;
end;
plot(xx+.96,yy+.98,'b','color',[.9 .9 .9],'LineWidth',2);
plot([.966 .98],[.975 .96],'b','color',[.9 .9 .9],'LineWidth',3);