Differentially Private DBSCAN

RESOURCE

Abstract

SAND2022-15185 O Differentially Private DBSCAN is a differential private clustering algorithm used for running experiments and conducting data analysis. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525.
Developers:
Smith, Michael [1][2][3]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Release Date:
2022-09-20
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Python3
Version:
0.1
Licenses:
BSD 3-clause "New" or "Revised" License
Sponsoring Org.:
Code ID:
98454
Site Accession Number:
SCR #2835
Research Org.:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Country of Origin:
United States

RESOURCE

Citation Formats

Smith, Michael R. Differentially Private DBSCAN. Computer Software. https://github.com/sandialabs/DP_DBSCAN. USDOE. 20 Sep. 2022. Web. doi:10.11578/dc.20240910.11.
Smith, Michael R. (2022, September 20). Differentially Private DBSCAN. [Computer software]. https://github.com/sandialabs/DP_DBSCAN. https://doi.org/10.11578/dc.20240910.11.
Smith, Michael R. "Differentially Private DBSCAN." Computer software. September 20, 2022. https://github.com/sandialabs/DP_DBSCAN. https://doi.org/10.11578/dc.20240910.11.
@misc{ doecode_98454,
title = {Differentially Private DBSCAN},
author = {Smith, Michael R.},
abstractNote = {SAND2022-15185 O Differentially Private DBSCAN is a differential private clustering algorithm used for running experiments and conducting data analysis. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525.},
doi = {10.11578/dc.20240910.11},
url = {https://doi.org/10.11578/dc.20240910.11},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240910.11}},
year = {2022},
month = {sep}
}