Research on Sampling Method of CFSFDP Clustering Algorithm and Its Criteria for Determining the Best Sample Size-Reference-Cited by-同舟云学术

Research on Sampling Method of CFSFDP Clustering Algorithm and Its Criteria for Determining the Best Sample Size

Published:2018-10-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Advances in Artificial Intelligence
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Author:

Cheng Chen¹,Yang Jun¹,Kong Xuefeng¹

Affiliation:

1. School of Reliability and Systems Engineering, Beihang University, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3292448.3292451

Reference16 articles.

1. Study on density peaks clustering based on k-nearest neighbors and principal component analysis

2. Clustering by fast search and find of density peaks

3. Zhang W. and Li J. 2015. Extended fast search clustering algorithm: widely density clusters no density peaks. Computer Science. Zhang W. and Li J. 2015. Extended fast search clustering algorithm: widely density clusters no density peaks. Computer Science.

4. Adaptive fuzzy clustering by fast search and find of density peaks

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