An improved density peaks clustering algorithm by automatic determination of cluster centres
Author:
Affiliation:
1. College of Computer Science & Engineering, Northwest Normal University, Lanzhou, People’s Republic of China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Human-Computer Interaction,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/09540091.2021.2012422
Reference40 articles.
1. Fast density clustering strategies based on the k-means algorithm
2. A fast density-based data stream clustering algorithm with cluster centers self-determined for mixed data
3. Maximum weighted likelihood via rival penalized EM for density mixture clustering with automatic model selection
4. Dua, D. & Graff, C. (2019).UCI machine learning repository.
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1. Improving K-means by an Agglomerative Method and Density Peaks;Third Congress on Intelligent Systems;2023
2. Online incremental updating for model enhancement based on multi-perspective trusted intervals;Connection Science;2022-06-21
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