There are several examples related to cluster algorithms in the directory ''macros/examples''. The Jython macros start with ''clustering*''. The data clustering is based the http://hepforge.cedar.ac.uk/jminhep/ java library and includes:
In short, first one should create a data container ``DataHolder'' to keep a multidimensional data. (note: P1D can only data for two dimensions, in X and Y). One can display this container and export to a table as:
>>> from jminhep.cluster import * >>> data = DataHolder("Example") # create a container >>> .... # fill this container using add method >>> HTable(data) # look at this container in a table >>> c1=HPlot() # create a canvas to display the data >>> p1=P1D(data,0,1) # export to P1D to display 1st and 2nd column >>> c1.draw(p1) # draw it in a canvas >>> c1.visible(1) >>> #### now do some clustering ### >>> pat = Partition(data) # fill partitioner >>> pat.set(3, 0.001, 1.7, 1000) # initialize the clustering >>> # (reconstruct 3 clusters etc..) >>> pat.run(131) # run the clustering algorithm (Fuzzy)
Read JMinHEP APIhttp://hepforge.cedar.ac.uk/jminhep/html/jminhep/cluster/package-summary.html for more information and try to run the examples in ''macros/examples'' directory