some cleanup of the codes.
remove obsoleted source
Added Distributions to REQUIRE

just to make sure that adding Clustering on a clean Julia install works.
Merge pull request #9 from rened/patch-1

Added Distributions to REQUIRE
Drop Stats requirement
use StatsBase instead of Distributions as dependency
change unsafe_view to view
Merge pull request #11 from cosinequanon/fix-deprecated-unsafe_view

change unsafe_view to view
Add k-medoids implem and silhouettes
Merge pull request #15 from lendle/pam

Add k-medoids implementation and silhouettes
Cleaned up dbscan test script and fixed bugs in DBSCAN expand_cluster
Merge pull request #20 from jejomath/master

Cleaned up dbscan test script and fixed bugs in DBSCAN expand_cluster
remove dependency on NumericExtensions
Fix kmeans if eltype(x) != Float64
Merge pull request #23 from lendle/pull-request/f1cad243

Fix kmeans if eltype(x) != Float64
Fix deprecation warnings in affprop.jl
Get dbscan tests to run
add runtests.jl
Strengthen tests for k-medoids
Replace k-medoids with Park & Jun's algorithm

This is much faster than the PAM algorithm used previously:
 - time complexity is O(nk) versus O(k(n-k)^2)
 - in our tests, it was 7x faster with a 500-object dataset, and >50x
   faster with a 10,000-object dataset

It also does not suffer from the bug in the previous implementation that
occasionally produced several clusters with the same medoid.