[ppam-mpi.git] / README.md

# Parallel clustering with a k-medoids algorithm

Joint work with [Jairo Cugliari](http://eric.univ-lyon2.fr/~jcugliari/)

---

This C program runs the k-medoid algorithm on several subsets of one (presumably big) dataset. 
The computed medoids are then merged iteratively, until we get a final set of k centers.

---

The folder "communication/" contains latex sources (and generated pdf files) of a short paper submitted 
to the Journ&eacute;es de Statistique in Rennes, France (2014), and also the slides presented at this event.

The other folder contains all the C code; but not the EDF (french electricity company) datasets, because they 
are not public. Since the (de)serialization process in code/src/TimeSeries/ is tailored for these data, 
it is necessary to adapt this small part of the code to use any other custom time-series files.
Commit	Line	Data
fba506c8 BA	1	# Parallel clustering with a k-medoids algorithm
	2
	3	Joint work with [Jairo Cugliari](http://eric.univ-lyon2.fr/~jcugliari/)
	4
	5	---
	6
	7	This C program runs the k-medoid algorithm on several subsets of one (presumably big) dataset.
	8	The computed medoids are then merged iteratively, until we get a final set of k centers.
	9
	10	---
	11
	12	The folder "communication/" contains latex sources (and generated pdf files) of a short paper submitted
ecd8468e	13	to the Journées de Statistique in Rennes, France (2014), and also the slides presented at this event.
fba506c8 BA	14
	15	The other folder contains all the C code; but not the EDF (french electricity company) datasets, because they
	16	are not public. Since the (de)serialization process in code/src/TimeSeries/ is tailored for these data,
	17	it is necessary to adapt this small part of the code to use any other custom time-series files.