Significant DBSCAN towards Statistically Robust Clustering-Reference-Cited by-同舟云学术

Significant DBSCAN towards Statistically Robust Clustering

Published:2019-08-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th International Symposium on Spatial and Temporal Databases
language:
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Author:

Xie Yiqun¹,Shekhar Shashi¹

Affiliation:

1. Dept. of Computer Science and Engineering, University of Minnesota -- Twin Cities

Funder

U.S. Department of Agriculture

ARPA-E

National Science Foundation

National Institutes of Health

USDOD

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340964.3340968

Reference13 articles.

1. 2017. National Cancer Institute. https://surveillance.cancer.gov/satscan/. 2017. National Cancer Institute. https://surveillance.cancer.gov/satscan/.

2. 2019. HDBSCAN. https://hdbscan.readthedocs.io/en/latest/api.html. 2019. HDBSCAN. https://hdbscan.readthedocs.io/en/latest/api.html.

3. 2019. Minneapolis sets winter parking restrictions until April 1. http://www.startribune.com/minneapolis-sets-winter-parking-restrictions-until-april-1/506388832/. 2019. Minneapolis sets winter parking restrictions until April 1. http://www.startribune.com/minneapolis-sets-winter-parking-restrictions-until-april-1/506388832/.

4. Mihael Ankerst et al. 1999. OPTICS: ordering points to identify the clustering structure. In ACM Sigmod record Vol. 28. ACM 49--60. 10.1145/304181.304187 Mihael Ankerst et al. 1999. OPTICS: ordering points to identify the clustering structure. In ACM Sigmod record Vol. 28. ACM 49--60. 10.1145/304181.304187

5. Shai Ben-David et al. 2009. Measures of clustering quality: A working set of axioms for clustering. In Adv. in neural information processing systems. 121--128. Shai Ben-David et al. 2009. Measures of clustering quality: A working set of axioms for clustering. In Adv. in neural information processing systems. 121--128.

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