Robust Adaptive SOMs Challenges in a Varied Datasets Analytics

Alaa Ali Hameed, Naim Ajlouni, Bekir Karlik. Robust Adaptive SOMs Challenges in a Varied Datasets Analytics. In Alfredo Vellido, Karina Gibert, Cecilio Angulo, José David Martín-Guerrero, editors, Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization - Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019. Volume 976 of Advances in Intelligent Systems and Computing, pages 110-119, Springer, 2019. [doi]

@inproceedings{HameedAK19,
  title = {Robust Adaptive SOMs Challenges in a Varied Datasets Analytics},
  author = {Alaa Ali Hameed and Naim Ajlouni and Bekir Karlik},
  year = {2019},
  doi = {10.1007/978-3-030-19642-4_11},
  url = {https://doi.org/10.1007/978-3-030-19642-4_11},
  researchr = {https://researchr.org/publication/HameedAK19},
  cites = {0},
  citedby = {0},
  pages = {110-119},
  booktitle = {Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization - Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019},
  editor = {Alfredo Vellido and Karina Gibert and Cecilio Angulo and José David Martín-Guerrero},
  volume = {976},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-19642-4},
}