[epclust.git] / code / README

To compile source code :

   cd build/stage1/src #and then stage2
   cmake ../../../stage1/src
   make

Usage :

   mpirun -np nbProcess ppam.exe cluster ifilename nbSeriesInChunk nbClusters randomize p_for_dissims

Where :
   nbProcess = number of simultaneous processes
   ifilename = path to serialized dataset (read below)
   nbSeriesInChunk = number of time-series to process sequentially
   nbClusters = number of clusters
   randomize = 1 to dispatch time-series at random. 0 to process them in order
   p_for_dissims = the 'p' of L_p distance used to compute dissimilarities

Note : custom [de]serialization. Consider writing your own 
in src/TimeSeries/ folder if you plan to test the package.

See also src/main.c for the details.
Commit	Line	Data
	1	To compile source code :
	2
	3	cd build/stage1/src #and then stage2
	4	cmake ../../../stage1/src
	5	make
	6
	7	Usage :
	8
	9	mpirun -np nbProcess ppam.exe cluster ifilename nbSeriesInChunk nbClusters randomize p_for_dissims
	10
	11	Where :
	12	nbProcess = number of simultaneous processes
	13	ifilename = path to serialized dataset (read below)
	14	nbSeriesInChunk = number of time-series to process sequentially
	15	nbClusters = number of clusters
	16	randomize = 1 to dispatch time-series at random. 0 to process them in order
	17	p_for_dissims = the 'p' of L_p distance used to compute dissimilarities
	18
	19	Note : custom [de]serialization. Consider writing your own
	20	in src/TimeSeries/ folder if you plan to test the package.
	21
	22	See also src/main.c for the details.