Possibly the best k-means clustering ... in the world!
Short post this time because I got nerd-sniped looking at the data. The fun part is that you quickly move from thinking about how to get your results to trying to work out what they mean.
Forget why I started down this road. Right now, we are seeking the answer to Lewis Carol's famous question, How is a Porsche 914-2 like a Volvo 142E? (well, that's what it was in the first draft) A quick summary for those who have just joined us.
pdl> use PDL::IO::CSV ':all'
pdl> $cars = rcsv2D('mtcars_001.csv', [1 .. 11], {text2bad => 1, header => 1, debug => 1});
pdl> p $cars->dims
32 11
You got 32 11, right?