Kmeans Cluster

K-means clustering

What is K-means?

See also.

• http://en.wikipedia.org/wiki/K-means_clustering

Tutorial

require 'kmeans/pair'
require 'kmeans/pearson'
require 'kmeans/cluster'

uniform_hash = {
"test01"=> {"hoge"=>0, "fuga"=>1, "piyo"=>0 },
"test02"=> {"hoge"=>2, "fuga"=>1, "piyo"=>3 },
"test03"=> {"hoge"=>3, "fuga"=>0, "piyo"=>1 },
"test04"=> {"hoge"=>0, "fuga"=>2, "piyo"=>0 },
"test05"=> {"hoge"=>4, "fuga"=>2, "piyo"=>3 },
"test06"=> {"hoge"=>3, "fuga"=>1, "piyo"=>1 }}

result = Kmeans::Cluster.new(uniform_hash, {
  :centroids => 5,
  :loop_max => 10
})
result.make_cluster

# The results differ for each run
p result.cluster.values #=> [["test01", "test04"], ["test02"], ["test03", "test05"], ["test06"], []]

For more info, see spec files.

ChangeLog

See doc/ChangeLog.

Developers

See doc/AUTHORS.

Author

774

• http://id774.net
• http://github.com/id774

Copyright and license

See the file doc/LICENSE.