Q1: For K-Mean Algorithm answer the following: • Description of K-Mean Algorithm • How it works • Example of K-Mean Algorithm • Implementation of K-Mean Algorithm
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It is an unsupervised learning algorithm that assigns each data point to one of the K clusters based on the similarity of their features. The algorithm tries to minimize the within-cluster variance, which is the sum of squared distances between each data point and Show more…
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