Ski Resort Clusterring near Montreal

Rational My 3rd ski season in montérégie is coming, and this post uses a very basic machine-learning-unsupervised-clusterring algorithm to show an interesting analysis about how to choose your next ski journey. Algorithm Quote from wiki page k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. ... Read more