Computer Science
8 years ago

New method revolutionizes cluster analysis for diverse dataset structures!

IEEE Transactions on Neural Networks and Learning Systems
Method for Determining the Optimal Number of Clusters Based on Agglomerative Hierarchical Clustering
Shibing Zhou, Zhenyuan Xu, Fei Liu

Paper Summary

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The article introduces a method to figure out the best number of groups in cluster analysis. By looking at how samples are spread out and combined, a new way to measure clustering quality is created. This method uses a specific clustering algorithm and can work well with different types of data structures. Both theory and experiments show that this new method is effective in determining the optimal number of clusters.