WKMEANS		            Copyright (c) 2012, Deniz Yuret

Usage: wkmeans [options] < input > output
  -k number of clusters (default 2)
  -r number of restarts (default 0)
  -s random seed
  -l input file contains labels
  -w input file contains instance weights
  -v verbose output

Algorithm: wkmeans is a k-means algorithm with (optional) instance
weights.

* Based on mpi_kmeans-1.5 by Peter Gehler.

* Based on C. Elkan. Using the triangle inequality to accelerate
  kMeans. ICML 2003.

* Initialization based on Arthur, D. and Vassilvitskii,
  S. (2007). K-means++: the advantages of careful seeding.
  Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete
  algorithms. pp. 1027-1035.

Please see the file LICENSE for terms of use.  Everything is standard
C, so just typing make should give you an executable.