K-Means Clustering with Infinite Feature Selection for Classification Tasks in Gene Expression Data

Muhammad Akmal bin Remli, Kauthar Mohd Daud, Hui Wen Nies, Mohd Saberi Mohamad, Safaai Deris, Sigeru Omatu, Shahreen Kasim, Ghazali Sulong. K-Means Clustering with Infinite Feature Selection for Classification Tasks in Gene Expression Data. In Florentino Fdez-Riverola, Mohd Saberi Mohamad, Miguel P. Rocha, Juan F. De Paz, Tiago Pinto, editors, 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2017, Porto, Portugal, 21-23 June, 2017. Volume 616 of Advances in Intelligent Systems and Computing, pages 50-57, Springer, 2017. [doi]

@inproceedings{RemliDNMDOKS17,
  title = {K-Means Clustering with Infinite Feature Selection for Classification Tasks in Gene Expression Data},
  author = {Muhammad Akmal bin Remli and Kauthar Mohd Daud and Hui Wen Nies and Mohd Saberi Mohamad and Safaai Deris and Sigeru Omatu and Shahreen Kasim and Ghazali Sulong},
  year = {2017},
  doi = {10.1007/978-3-319-60816-7_7},
  url = {https://doi.org/10.1007/978-3-319-60816-7_7},
  researchr = {https://researchr.org/publication/RemliDNMDOKS17},
  cites = {0},
  citedby = {0},
  pages = {50-57},
  booktitle = {11th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2017, Porto, Portugal, 21-23 June, 2017},
  editor = {Florentino Fdez-Riverola and Mohd Saberi Mohamad and Miguel P. Rocha and Juan F. De Paz and Tiago Pinto},
  volume = {616},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-319-60816-7},
}