Tag: graph clustering

Researchers developed VOL-Gene, a graph-based clustering method that partitions human genes into exclusive functional categories to annotate understudied genetic markers.

A new clustering algorithm called 3L-GBC models dense, transitional, and sparse regions within clusters using granular balls to better handle ...

Researchers have combined non-negative matrix factorization with multi-objective particle swarm optimization to create a community detection algorithm that achieves perfect ...

A new comprehensive survey in Vicinagearth organizes the rapidly growing field of fast graph clustering, from anchor-based bipartite graphs to ...

Researchers have developed GCC-LDP, a locally differentially private clustering method that uses Re-Pair graph compression and a two-round aggregation framework ...

Researchers at Uppsala University have developed MOUFLON, a scalable fairness-aware community detection algorithm that balances modularity with demographic fairness across ...

Researchers in Iran have unveiled a new machine learning framework that tackles one of the most stubborn problems in network ...