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MACHINE LEARNINGWhy is clustering important in machine learning? Show the steps of the k-means algorithm by taking a suitable example. Give the time complexity analysis of k-means.20257mMACHINE LEARNINGWhat is the difference between K-NN and K-means clustering algorithms?20237mData MiningA major limitation of K-means is (i) It cannot process numerical data (ii) It always identifies outliers correctly (iii) It requires the number of clusters to be specified in advance (iv) It does not use distance measures20262mMACHINE LEARNINGDiscuss the steps in K-means algorithm and evaluate the following table using K-means : 202214m
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