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Exercise 1. K-means clustering (Homework) Given is the one-dimensional dataset: {5, 7, 10, 12}. Run the k-means clustering algorithm for 1 epoch to cluster this dataset into 2 clusters. AsSsume that the initial seeds (cluster centers) are cl=3 and c2=13 and that the distance measure is the absolute distance between the examples. Show the clusters at the end of the epoch and the new cluster centers.

Exercise 1. K-means clustering (Homework) Given is the one-dimensional dataset: {5, 7, 10, 12}. Run the k-means clustering algorithm for 1 epoch to cluster this dataset into 2 clusters. AsSsume that the initial seeds (cluster centers) are cl=3 and c2=13 and that the distance measure is the absolute distance between the examples. Show the clusters at the end of the epoch and the new cluster centers.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Exercise 1. K-means clustering (Homework) Given is the one-dimensional dataset: {5,7, 10, 12}. Run the k-means clustering algorithm for 1 epoch to cluster this dataset into 2 clusters. Assume that the initial seeds (cluster centers) are c1=3 and c2=13 and that the distance measure is the absolute distance between the examples. Show the clusters at the end of the epoch and the new cluster centers.
Transcribed Image Text:Exercise 1. K-means clustering (Homework) Given is the one-dimensional dataset: {5,7, 10, 12}. Run the k-means clustering algorithm for 1 epoch to cluster this dataset into 2 clusters. Assume that the initial seeds (cluster centers) are c1=3 and c2=13 and that the distance measure is the absolute distance between the examples. Show the clusters at the end of the epoch and the new cluster centers.
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