Extending k-Means-Based Algorithms for Evolving Data Streams with Variable Number of Clusters

Jonathan de Andrade Silva, Eduardo R. Hruschka. Extending k-Means-Based Algorithms for Evolving Data Streams with Variable Number of Clusters. In Xue-wen Chen, Tharam S. Dillon, Hisao Ishbuchi, Jian Pei, Haixun Wang, M. Arif Wani, editors, 10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 2: Special Sessions and Workshop. pages 14-19, IEEE Computer Society, 2011. [doi]

@inproceedings{SilvaH11,
  title = {Extending k-Means-Based Algorithms for Evolving Data Streams with Variable Number of Clusters},
  author = {Jonathan de Andrade Silva and Eduardo R. Hruschka},
  year = {2011},
  doi = {10.1109/ICMLA.2011.67},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICMLA.2011.67},
  researchr = {https://researchr.org/publication/SilvaH11},
  cites = {0},
  citedby = {0},
  pages = {14-19},
  booktitle = {10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 2: Special Sessions and Workshop},
  editor = {Xue-wen Chen and Tharam S. Dillon and Hisao Ishbuchi and Jian Pei and Haixun Wang and M. Arif Wani},
  publisher = {IEEE Computer Society},
}