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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?20237mDesign and Analysis of Algorithms Apply the Prim's algorithm and find the optimal solution for the following graph: 20257mData MiningThe results of an exam are recorded along with some data about the students. The results can be found in the table below : | ID | Cell No. | Language | Passed all Assignments | GPA | Passed Exam | | :---: | :---: | :---: | :---: | :---: | :---: | | 1 | 93333-11101 | Java | No | 3.1 | Yes | | 2 | 93333-11112 | Java | No | 2.0 | No | | 3 | 93333-11102 | C++ | Yes | 3.5 | Yes | | 4 | 93333-11113 | Python | Yes | 2.5 | Yes | | 5 | 93333-11103 | Java | Yes | 3.9 | No | | 6 | 93333-11114 | C++ | No | 2.9 | No | | 7 | 93333-11104 | Java | No | 1.9 | No | | 8 | 93333-11115 | Python | Yes | 3.2 | Yes | In no more than one page of text, describe the design of a K-Nearest Neighbour classifier to predict if a student will fail or pass the exam.202110m
