k-Means Clustering with Distance-Based Privacy
–Neural Information Processing Systems
In this paper, we initiate the study of Euclidean clustering with Distance-based privacy. Distance-based privacy is motivated by the fact that it is often only needed to protect the privacy of exact, rather than approximate, locations.
Neural Information Processing Systems
Feb-10-2026, 19:41:43 GMT
- Country:
- Asia > Afghanistan
- Parwan Province > Charikar (0.04)
- Europe
- Czechia > Prague (0.04)
- Finland > North Karelia
- Joensuu (0.04)
- Germany > Hesse
- Darmstadt Region > Darmstadt (0.04)
- North America
- Canada > Ontario
- Toronto (0.04)
- United States
- California > Santa Clara County
- Palo Alto (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- California > Santa Clara County
- Canada > Ontario
- Asia > Afghanistan
- Industry:
- Information Technology > Security & Privacy (1.00)
- Technology: