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What's the difference between Partitioning Around Medoids and K means? (5 points) Recall that DBSCAN has two parameters, minPts and Epsi. Suppose you apply DBSCAN to a dataset, but the clusters it produces are fragmented. i.e. the "true" clusters you expect to see in the data are broken into multiple pieces by DBSCAN with parameters minPts and Epsi. How could you change these parameters to reduce or eliminate this fragmentation? (5 points) What are the major steps for data pre-processing? Please illustrate the corresponding steps/differences. (5 points)