Computer Science
5 years ago

New algorithm revolutionizes correlation clustering for big data analysis!

Scientia Sinica Informationis
Maximum average entropy-rate based correlation clustering for big data
Zongben Xu, Liwen ZHANG, Shusen Yang, Jian Luo, Tao Wang

Paper Summary

The goal of the study was to address the limitations of correlation clustering for big data. The researchers used a method based on maximum average entropy-rate to improve the clustering process. The key finding was a more effective way to cluster large amounts of data by considering the average entropy-rate.

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