📄 readme_ncutclustering.txt
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Normalized Cut Clustering Code %% % % Timothee Cour (UPENN), Stella Yu (Berkeley), Jianbo Shi (UPENN) %% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Installation Notes :
1) After you unzipped the files to mydir,
put the Current Directory in Matlab to mydir
2) In the matlab command prompt,
type demoNcutClustering to see a demo
or...
type main to initialize the paths to subfolders
3) You can now try any of the functionsThe files were tested under matlab 6.5
Top level functions:ncutW: Given a similarity graph "W", computes Ncut clustering on the graph into "ncCluster" groups; NcutDiscrete = ncutW(W,nbCluster);Use demo.m to see how to use the clustering function.
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