Physics and Astronomy
5 years ago

New method uncovers hidden patterns in data for improved decision-making!

IEEE Transactions on Signal and Information Processing over Networks
Hierarchical Overlapping Clustering of Network Data Using Cut Metrics
Fernando Gama, Santiago Segarra, Alejandro Ribeiro

Paper Summary

A new method was developed to group nodes in a network based on their similarities. This method creates nested clusters that can overlap, meaning nodes can belong to more than one group. By combining different ways of clustering the network, a structure is formed that shows how nodes are related at different levels of detail. This method was tested on various classification tasks, like identifying handwritten digits and attributing authors to famous plays, and showed promising results.

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