Abstract
In order to cluster massive cloud data accurately,a fuzzy clustering algorithm for massive cloud data based on peak density is proposed. The cloud data with noise is separated by BP neural network,and the output noise is reconstructed by singular value decomposition to obtain the noise output by the joint algorithm. The cloud data with noise is subtracted from the output noise to obtain the cloud data after noise removal. The density peak is combined with the optimized fuzzy clustering algorithm to adaptively form the initial clustering center,determine the number of clusters,and finally realize the fuzzy clustering of massive cloud data. Experimental results show that the clustering effect and efficiency of the proposed algorithm are significantly better than other algorithms.
| Translated title of the contribution | Design of fuzzy clustering algorithm for massive cloud data based on density peak |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 1401-1406 |
| Number of pages | 6 |
| Journal | Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) |
| Volume | 54 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - May 2024 |