100 citations · 100 across the 3 of their papers we have counts for
3 papers
cs.SI2024
Enhancing Community Detection in Networks: A Comparative Analysis of Local Metrics and Hierarchical Algorithms
Julio-Omar Palacio-Niño, Fernando Berzal
The analysis and detection of communities in network structures are becoming increasingly relevant for understanding social behavior. One of the principal challenges in this field…
cs.LG2020
On the use of local structural properties for improving the efficiency of hierarchical community detection methods
Julio-Omar Palacio-Niño, Fernando Berzal
Community detection is a fundamental problem in the analysis of complex networks. It is the analogue of clustering in network data mining. Within community detection methods, hiera…
cs.LG2019★ 100 cited
Evaluation Metrics for Unsupervised Learning Algorithms
Julio-Omar Palacio-Niño, Fernando Berzal
Determining the quality of the results obtained by clustering techniques is a key issue in unsupervised machine learning. Many authors have discussed the desirable features of good…