- 43 Patient Id 1 2 3 4 5 Indicator A Indicator B Indicator C Indicator D 23 123 89 45 134 87 48 23 110 94 35 24 106 90 34 1 (73.7 KiB) Viewed 33 times
43 Patient ID 1 2 3 4 5 Indicator A Indicator B Indicator C Indicator D 23 123 89 45 134 87 48 23 110 94 35 24 106 90 34
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43 Patient ID 1 2 3 4 5 Indicator A Indicator B Indicator C Indicator D 23 123 89 45 134 87 48 23 110 94 35 24 106 90 34
43 Patient ID 1 2 3 4 5 Indicator A Indicator B Indicator C Indicator D 23 123 89 45 134 87 48 23 110 94 35 24 106 90 34 26 140 88 50 Table 2 Health Indicators of Patients (a) Table 2 shows the health indicators of the patients in a hospital. The hospital wants to separate the patients into 2 groups. Use k-Means to help the hospital to separate the patients into 2 groups based on their health indicators A, B, C, D in Table 2. Manhattan distance is used as the distance measure. The initial cluster centroids are (25, 110, 86, 50), and (35, 120, 90, 30). List the members of each group and the centroids in the first 3 iterations of k-Means. (Keep values in 2 decimal places) [12 marks] (b) Explain two limitations of k-Means. [4 marks]
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