Clusters of single malt Scotch whiskies

January 1, 2014  |  Statistics

Luba Gloukhov of Revolution Analytics used k-means clustering to find groups of single malt Scotch whiskies. Because you know, New Year's morning is when whisky is on everyone's mind.

The first time I had an Islay single malt, my mind was blown. In my first foray into the world of whiskies, I took the plunge into the smokiest, peatiest beast of them all — Laphroig. That same night, dreams of owning a smoker were replaced by the desire to roam the landscape of smoky single malts.

As an Islay fan, I wanted to investigate whether distilleries within a given region do in fact share taste characteristics. For this, I used a dataset profiling 86 distilleries based on 12 flavor categories.

The result is essentially a mini recommendation system for the fine liquor, and the code is there, so you can see how it works.

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