An Adaptive Clustering Algorithm Based on Circular Units
2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD)(2021)
摘要
The traditional K-means algorithm has been widely studied and applied in data analysis due to its simplicity, efficiency and effectiveness. However, the traditional K-means algorithm strongly relies on the pre-defined number of clusters k, which leads to different training iterations and make the clustering results fall into local minimum. In addition, the traditional K-means algorithm is computat...
更多查看译文
关键词
Training,Data analysis,Search methods,Merging,Clustering algorithms,Adaptive algorithms,Big Data
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要