IEEE

Density Peaks Clustering Algorithm Based on Neighborhood Radius and Membership Degree

Abstract: The density peaks clustering (DPC) algorithm is a density-based clustering method that effectively identifies clusters with uniform densities. However, if the datasets have uneven density, ...
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 ...