VillageNet clusters high-dimensional datasets without needing cluster count, using K-Means and WLCF.
problem Clustering large, high-dimensional datasets with diverse variables.
method VillageNet operates in two phases: K-Means for village division and WLCF for network community detection.
result VillageNet autonomously determines optimal number of clusters and outperforms other methods in NMI.