Explain K-Means Algorithm. Assume, you want to cluster 7 observations into 3 clusters using K-Means clustering algorithm
Posted: Thu Jul 14, 2022 2:17 pm
Explain K-Means Algorithm. Assume, you want to cluster 7 observations into 3 clusters using K-Means clustering algorithm. After first iteration clusters, C1,C2,C3 has following observations: C1: {(2,2),(4,4),(6,6)} C2: {(0,4),(4,0)} C3: {(5,5),(9,9)} What will be the Euclidean distance for observation (9,9) from cluster centroid of C1,C2 and C3 in second iteration?