A semi-supervised clustering algorithm that integrates heterogeneous dissimilarities and data sources

Manuel Martín-Merino. A semi-supervised clustering algorithm that integrates heterogeneous dissimilarities and data sources. In The 2011 International Joint Conference on Neural Networks, IJCNN 2011, San Jose, California, USA, July 31 - August 5, 2011. pages 1732-1739, IEEE, 2011. [doi]

@inproceedings{Martin-Merino11-0,
  title = {A semi-supervised clustering algorithm that integrates heterogeneous dissimilarities and data sources},
  author = {Manuel Martín-Merino},
  year = {2011},
  doi = {10.1109/IJCNN.2011.6033433},
  url = {http://dx.doi.org/10.1109/IJCNN.2011.6033433},
  researchr = {https://researchr.org/publication/Martin-Merino11-0},
  cites = {0},
  citedby = {0},
  pages = {1732-1739},
  booktitle = {The 2011 International Joint Conference on Neural Networks, IJCNN 2011, San Jose, California, USA, July 31 - August 5, 2011},
  publisher = {IEEE},
  isbn = {978-1-4244-9635-8},
}