Clustering Clustering 1. Consider the 1-dimensional data set with 10 data points {1,2,3,...10}. Show the iterations of the k-means algorithm using Euclidean distance when k = 2, and the random seeds are initialized to {1, 2}. 2. Repeat Exercise 1 using agglomerative hierarchical clustering and Euclidean distance, with single linkage (min) criterion. 3. 1
