Suppose we have set of 5 items, which have values for a single feature dimension. The...
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Suppose we have set of 5 items, which have values for a single feature dimension. The 5 items have the following values on this feature dimension: {2, 3, 5, 7, 18). We wish to cluster the items into two groups using the K-means clustering algorithm (with K-2). The items with the values 2 and 7 are randomly selected as the two initial cluster centroids. (a) What is the initial assignment of the items to clusters, using the initial cluster centroids? [4 marks] (b) After the first step of the K-means clustering algorithm, what are the two new cluster centroid values? [6 marks] (c) What are the final members of the two clusters after the k-means clustering algorithm terminates? Suppose we have set of 5 items, which have values for a single feature dimension. The 5 items have the following values on this feature dimension: {2, 3, 5, 7, 18). We wish to cluster the items into two groups using the K-means clustering algorithm (with K-2). The items with the values 2 and 7 are randomly selected as the two initial cluster centroids. (a) What is the initial assignment of the items to clusters, using the initial cluster centroids? [4 marks] (b) After the first step of the K-means clustering algorithm, what are the two new cluster centroid values? [6 marks] (c) What are the final members of the two clusters after the k-means clustering algorithm terminates?
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a To determine the initial assignment of the items to clusters we calculate the Euclidean distance between each item and the two initial cluster centr... View the full answer
Related Book For
Introduction to Algorithms
ISBN: 978-0262033848
3rd edition
Authors: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest
Posted Date:
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