An Efficient Algorithm for Density Based Subspace Clustering with Dynamic Parameter Setting
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MECS Publisher
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http://www.mecs-press.org/ijitcs/ijitcs-v9-n6/IJITCS-V9-N6-4.pdf
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Research on variable weight CLIQUE clustering algorithm based on partial order set1;Journal of Intelligent & Fuzzy Systems;2023-06-01
2. Research on Improved CLIQUE Partial Order Algorithm Weight;2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS);2022-10-28
3. Analysis of China’s Regional Economic Competitiveness, Regionalization, and Spatial Aggregation Characteristics Based on Density Clustering Algorithm;Mathematical Problems in Engineering;2022-08-03
4. Accelerating Density-Based Subspace Clustering in High-Dimensional Data;2021 International Conference on Data Mining Workshops (ICDMW);2021-12
5. Hyperspectral Image Processing in Internet of Things model using Clustering Algorithm;June 2021;2021-06-21
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