Both (k)-means and (k)-medoids algorithms can perform effective clustering. a. Illustrate the strength and weakness of (k)-means
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Both \(k\)-means and \(k\)-medoids algorithms can perform effective clustering.
a. Illustrate the strength and weakness of \(k\)-means in comparison with \(k\)-medoids.
b. Illustrate the strength and weakness of these schemes in comparison with a hierarchical clustering scheme.
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a Strengths and Weaknesses of Kmeans and Kmedoids Kmeans Strengths It is simple to understand and easy to implement It is computationally efficient co...View the full answer
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Related Book For 
Data Mining Concepts And Techniques
ISBN: 9780128117613
4th Edition
Authors: Jiawei Han, Jian Pei, Hanghang Tong
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