10) - Suppose that the data mining task is to cluster the students with respect to their quiz and project grades. Students with their grades are listed below. Use DBSCAN algorithm with parameters MinPts=3 and Epsilon=3. Aye (20, 20), Bora (18, 18), Ceyda (20, 16), Demir (16, 16), Elif (2, 2), Feride (4,2), Hasan (6,6), Kerem (2,4), Musa (10, 10), Selin (8, 10), Utku (6, 10), Zeynep (16, 12). The distance function is Euclidean distance. Capital letters stand for the names of the students. Show the final clusters. a) Project Grade AL B D 2 s. M . E Quur Grode 0,0 b) Which students are core points? c) Which students are border points? ho d) Which students are outliers? 10) - Suppose that the data mining task is to cluster the students with respect to their quiz and project grades. Students with their grades are listed below. Use DBSCAN algorithm with parameters MinPts=3 and Epsilon=3. Aye (20, 20), Bora (18, 18), Ceyda (20, 16), Demir (16, 16), Elif (2, 2), Feride (4,2), Hasan (6,6), Kerem (2,4), Musa (10, 10), Selin (8, 10), Utku (6, 10), Zeynep (16, 12). The distance function is Euclidean distance. Capital letters stand for the names of the students. Show the final clusters. a) Project Grade AL B D 2 s. M . E Quur Grode 0,0 b) Which students are core points? c) Which students are border points? ho d) Which students are outliers