X-Git-Url: https://git.auder.net/css/rpsls.css?a=blobdiff_plain;f=code%2FREADME;h=6a539afe37f422a70ebd0953ecc4675860a52219;hb=b81706231c887d593a0eed89940427b577c57ff0;hp=5546cf67e3cc56e9e59dd40d98c9e0a2c476febc;hpb=311c5c078a9fc8ec6bb449fa685dbb1657d75d39;p=epclust.git

diff --git a/code/README b/code/README
index 5546cf6..6a539af 100644
--- a/code/README
+++ b/code/README
@@ -1,14 +1,39 @@
-To compile source code :
+0) Download & compile Benjamin's specific library
 
-   (mkdir -p (src|test)/build
-   cd (src|test)/build
-   cmake ..
+   git clone git@auder.net:cgds
+   cd cgds
+   bash makeMakefile.sh src
+   make src
+   sudo make install
+
+Make sure that the install destination is on the LD_LIBRARY_PATH environment variable.
+
+1) Compile source code for 1st stage clustering
+
+   mkdir -p build/stage1/src
+   cd build/stage1/src
+   cmake ../../../stage1/src
    make
 
-Usage :
+2) #repeat previous lines for stage 2 ???
+
+
+NOTA: Need to have openmpi, mpich (compiler for mpi) libxml, and libgsl installed.
+
+
+Usage (stage 1) :
+
+Serialize input data using 
+
+   ppam.exe serialize inputfile_edf outputfile_edf 1 0 
+
+# 1 indicates data is by column
+# 0 means process all the rows
 
    mpirun -np nbProcess ppam.exe cluster ifilename nbSeriesInChunk nbClusters randomize p_for_dissims
 
+## ex. > mpirun -np 4 ./ppam.exe cluster ~/tmp/2009.bin 5000 200 1 2 
+
 Where :
    nbProcess = number of simultaneous processes
    ifilename = path to serialized dataset (read below)
@@ -17,6 +42,12 @@ Where :
    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
 
+
+The results are stored in ppamResult.xml (curves ids and ranks) while ppamFinalSeries.bin
+are the curves used in the last clustering step. The ranks in ppamResult.xml refer to the
+curves in ppamFinalSeries.bin
+
+
 Note : custom [de]serialization. Consider writing your own 
 in src/TimeSeries/ folder if you plan to test the package.