Question: Use the k-means algorithm and Euclidean distance to cluster the following four medicines as our training data points object and each medicine has 2 attributes.

 Use the k-means algorithm and Euclidean distance to cluster the following

Use the k-means algorithm and Euclidean distance to cluster the following four 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 Suppose that the initial seeds (centers of each cluster) are Medicine A and Medicine B

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