... every where you go! ☃ ☃ ☃

Continuing on from the intention of clustering data in Perl (a form of unsupervised learning), I'm going to start with PDL::Stats::Kmeans and see how far I can get.

Let's just plunge in and use the module and read the documentation after to figure out what it all k-means. (sorry)

Ahh, the venerable comma separated variable format, beloved of data scientists.

I grabbed a couple of csv files from Matt Pettis’ csvkit talk to prepare for the datafile that I should be getting my mitts on and tripped and bumped my way through the documentation for PDL::IO::CSV and metaphorically skinned my knees, as you do when you don’t read too carefully.