7.14 kmeans example wine normalised

UNDER DEVELOPMENT 20211231 We can normalise the data to see if we get a better model.

cat wine.csv | 
  ml normalise kmeans |
  tee norm.csv |
  ml train kmeans 4 |
  ml predict kmeans norm.csv |
  mlr --csv cut -f label > wine.pr
cat wine.data |
  cut -d"," -f 1 |
  awk 'NR ==1{ print "class "} {print}' |
  paste -d"," - wine.pr |
  sort |
  uniq -c


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