1. The file "P15_01.xlsx" contains data on 178 wines. They are categorized into three types, labeled as A, B, and C. The
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1. The file "P15_01.xlsx" contains data on 178 wines. They are categorized into three types, labeled as A, B, and C. The
1. The file "P15_01.xlsx" contains data on 178 wines. They are categorized into three types, labeled as A, B, and C. The reset of the variables are numeric properties of the wines. Instead of trying to use a classification algorithm to classify wines into three known types (A, B, and C), it is interesting to see if a clustering algorithm can discover these known categories. Use the K-means method to find three clusters of wine types. (Of course, don't use the Type variable when creating clusters.) Does the clustering agree with the Type variable?
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