| Issue |
E3S Web Conf.
Volume 275, 2021
2021 International Conference on Economic Innovation and Low-carbon Development (EILCD 2021)
|
|
|---|---|---|
| Article Number | 03075 | |
| Number of page(s) | 4 | |
| Section | Environmental Protection and Governance Innovation Technology Research | |
| DOI | https://doi.org/10.1051/e3sconf/202127503075 | |
| Published online | 21 June 2021 | |
Clustering Algorithm Based on Density of Data
Science College of Liaoning Technical University Fuxin, Liaoning, 123000, China
* e-mail: mayongly@163.com
The k_means clustering algorithm has very extensive application. The paper gives out_in clustering algorithm based on density. The algorithm combines distance with data density to adapt to data distribution. It can effectively solve the clustering of data. Out_in clustering based on density reduce distorition by move out and move in. Simulation results show that out_in clustering algorithm is more effective than the k_means clustering algorithm.
© The Authors, published by EDP Sciences, 2021
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