IEEE

Density Peaks Clustering Based on Label Propagation and K-Mutual-Nearest Neighbors

Abstract: The density peaks clustering algorithm is one of the density-based clustering algorithms. This algorithm has several advantages, including not requiring a preset number of clusters, ...
IEEE

Beta k-Means: Accelerating k-Means Using Probabilistic Cluster Filtering

Abstract: Lloyd k-means is a widely used clustering algorithm. The Hamerly and Annulus algorithms are faster versions of the Lloyd k-means, employing the triangle inequality to skip unnecessary ...