A novel sample weighting K-means clustering algorithm based on angles information

Lei Gu. A novel sample weighting K-means clustering algorithm based on angles information. In 2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016. pages 3697-3702, IEEE, 2016. [doi]

@inproceedings{Gu16-8,
  title = {A novel sample weighting K-means clustering algorithm based on angles information},
  author = {Lei Gu},
  year = {2016},
  doi = {10.1109/IJCNN.2016.7727675},
  url = {http://dx.doi.org/10.1109/IJCNN.2016.7727675},
  researchr = {https://researchr.org/publication/Gu16-8},
  cites = {0},
  citedby = {0},
  pages = {3697-3702},
  booktitle = {2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016},
  publisher = {IEEE},
  isbn = {978-1-5090-0620-5},
}