Data Warehousing and Data Mining20805 marksNumerical: K-medoids clusteringClustering techniques
How K-medoids clustering differs from K-means clustering? Divide the following data points into two clusters using kmedoids algorithm. Show computation up to 3 iterations. {(70,85), (65,80), (72,88), (75,90), (60,50), (64,55), (62,52), (63,58)}.
How K-medoids clustering differs from K-means clustering? Divide the following data points into two clusters using kmedoids algorithm. Show computation up to 3 iterations. {(70,85), (65,80), (72,88), (75,90), (60,50), (64,55), (62,52), (63,58)}. [5]
Data points (8 points), to be split into $k = 2$ clusters: Label Point ------ P1 (70, 85) P2 (65, 80) P3 (72, 88) P4 (75, 90) P5 (60, 50) P6 (64, 55) P7 (62, 52) P8 (63, 58) Requirements: show computation up to 3 iterations. Distance metric not specified, so I use Manhattan distance