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Real-Life Numerical Example of K-Means Clustering We have 4 medicines as our training data points object and each medicine has 2 attributes. Each attribute represents
Real-Life Numerical Example of K-Means Clustering We have 4 medicines as our training data points object and each medicine has 2 attributes. Each attribute represents coordinate of the object. We have to determine which medicines belong to cluster 1 and which medicines belong to the other cluster. Attributel Object (X): Attribute 2 (Y): PH weight inder Medicine A 1 1 Medicine B 2 2 1 Medicine C 4 3 Medicine D 5 5 4
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