Multi-level clustering based on cluster order constructed with dynamic local density-Reference-Cited by-同舟云学术

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Multi-level clustering based on cluster order constructed with dynamic local density

Published:2022-08-12 Issue:8 Volume:53 Page:9744-9761
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Jianyun Lu,Junming Shao^ORCID,Chunling Wu

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Fok Ying Tong Education Foundation

Sichuan Science and Technology Program

Science and Technology Research Program of Chongqing Municipal Education Commission

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03830-8.pdf

Reference46 articles.

1. Saxena A, Prasad M, Gupta A, Bharill N, Patel O P, Tiwari A, Er M J, Ding W, Lin C-T (2017) A review of clustering techniques and developments. Neurocomputing 267:664–681

2. Campello R J G B, Kroeger P, Sander J, Zimek A (2020) Density-based clustering. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery, 10

3. Tang D, Zhang S, Chen J, Wang X (2021) The detection of low-rate dos attacks using the sadbscan algorithm. Inf Sci 565:229–247

4. Xie X, Duan L, Qiu T, Li J (2021) Quantum algorithm for mmng-based dbscan. Sci rep 11:15559

5. Rad M H, Abdolrazzagh-Nezhad M (2020) A new hybridization of dbscan and fuzzy earthworm optimization algorithm for data cube clustering. Soft Comput 24:15529–15549

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