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Applying nearest-neighbour clustering techniques to find local beers likely to suit individual taste

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Toronto Craft Beer Project

Exploring data analysis techniques (Euclidean distance measurement, nearest neighbour and cluster analysis) to find local beers likely to suit someone's particular taste.

Based on: Lapointe, F.-J. & P. Legendre. 1994. A classification of pure malt Scotch whiskies. Applied Statistics 43: 237-257.

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Applying nearest-neighbour clustering techniques to find local beers likely to suit individual taste

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