Density-based clustering with differential privacy
F Wu, M Du, Q Zhi - Information Sciences, 2024 - Elsevier
In recent years, differentially private clustering has received increasing attention. However,
most existing differentially private clustering algorithms cannot achieve better results when …
most existing differentially private clustering algorithms cannot achieve better results when …
An improved density peaks clustering algorithm using similarity assignment strategy with K-nearest neighbors
W Hu, J Feng, D Yang - Cluster Computing, 2024 - Springer
Some particular shaped datasets, such as manifold datasets, have restrictions on density
peak clustering (DPC) performance. The main reason of variations in sample densities …
peak clustering (DPC) performance. The main reason of variations in sample densities …