Unsupervised learning using k-means clustering in Ruby
The k-means clustering algorithm is a powerful unsupervised learning algorithm for clustering data. In this blog post I will show how to use the k-means algorithm in Ruby. I will walk through an example where I use the k-mean algorithm to divide California into a number of distribution territories, for my fictitious beer distribution business. You can read more here: http://www.practicalai.io/unsupervised-learning-using-k-means-clustering-in-ruby/
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