DH-Kmeans: An Improved K-means Clustering Algorithm based on Dynamic Initial Cluster Center Determination and Hierarchical Clustering

Erzhou Zhu, Zihan Wang, Feng Liu 0024, Zhujuan Ma. DH-Kmeans: An Improved K-means Clustering Algorithm based on Dynamic Initial Cluster Center Determination and Hierarchical Clustering. In 25th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2022, Hangzhou, China, May 4-6, 2022. pages 170-176, IEEE, 2022. [doi]

@inproceedings{ZhuWLM22,
  title = {DH-Kmeans: An Improved K-means Clustering Algorithm based on Dynamic Initial Cluster Center Determination and Hierarchical Clustering},
  author = {Erzhou Zhu and Zihan Wang and Feng Liu 0024 and Zhujuan Ma},
  year = {2022},
  doi = {10.1109/CSCWD54268.2022.9776225},
  url = {https://doi.org/10.1109/CSCWD54268.2022.9776225},
  researchr = {https://researchr.org/publication/ZhuWLM22},
  cites = {0},
  citedby = {0},
  pages = {170-176},
  booktitle = {25th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2022, Hangzhou, China, May 4-6, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-0527-0},
}