Remotely Sensed Data Clustering Using K-Harmonic Means Algorithm and Cluster Validity Index

Habib Mahi, Nezha Farhi, Kaouter Labed. Remotely Sensed Data Clustering Using K-Harmonic Means Algorithm and Cluster Validity Index. In Abdelmalek Amine, Ladjel Bellatreche, Zakaria Elberrichi, Erich J. Neuhold, Robert Wrembel, editors, Computer Science and Its Applications - 5th IFIP TC 5 International Conference, CIIA 2015, Saida, Algeria, May 20-21, 2015, Proceedings. Volume 456 of IFIP Advances in Information and Communication Technology, pages 105-116, Springer, 2015. [doi]

@inproceedings{MahiFL15,
  title = {Remotely Sensed Data Clustering Using K-Harmonic Means Algorithm and Cluster Validity Index},
  author = {Habib Mahi and Nezha Farhi and Kaouter Labed},
  year = {2015},
  doi = {10.1007/978-3-319-19578-0_9},
  url = {http://dx.doi.org/10.1007/978-3-319-19578-0_9},
  researchr = {https://researchr.org/publication/MahiFL15},
  cites = {0},
  citedby = {0},
  pages = {105-116},
  booktitle = {Computer Science and Its Applications - 5th IFIP TC 5 International Conference, CIIA 2015, Saida, Algeria, May 20-21, 2015, Proceedings},
  editor = {Abdelmalek Amine and Ladjel Bellatreche and Zakaria Elberrichi and Erich J. Neuhold and Robert Wrembel},
  volume = {456},
  series = {IFIP Advances in Information and Communication Technology},
  publisher = {Springer},
  isbn = {978-3-319-19577-3},
}