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

The Density Peaks Clustering Algorithm Based on a Combination of Polynomial Kernel and EP Kernel with K-Nearest Neighbors

To address the problem of inaccurate cluster center selection in the Density Peaks Clustering (DPC) algorithm when applied to datasets with non-uniform density distributions, this paper proposes an ...