Description
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.
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