Computer Science
6 years ago

New method for selecting initial cluster centers improves K-means algorithm clustering!

On selecting the Initial Cluster Centers in the K-means Algorithm
Deniz Tanır, Fidan Nuriyeva

Paper Summary

The K-means clustering algorithm is used to group data points into clusters. One important factor for better clustering is selecting initial cluster centers. In this research, two new methods for choosing initial cluster centers were tested on real data sets. The results showed that using these new methods led to better clustering outcomes compared to randomly selecting initial centers.

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