An Adaptive Clustering Algorithm Based on Circular Units

2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD)(2021)

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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...
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关键词
Training,Data analysis,Search methods,Merging,Clustering algorithms,Adaptive algorithms,Big Data
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