An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data

Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho. An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data. In Cesare Alippi, Marios M. Polycarpou, Christos Panayiotou, Georgios Ellinas, editors, Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I. Volume 5768 of Lecture Notes in Computer Science, pages 131-140, Springer, 2009. [doi]

@inproceedings{SoaresLC09,
  title = {An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data},
  author = {Rodrigo G. F. Soares and Teresa Bernarda Ludermir and Francisco de A. T. de Carvalho},
  year = {2009},
  doi = {10.1007/978-3-642-04274-4_14},
  url = {http://dx.doi.org/10.1007/978-3-642-04274-4_14},
  tags = {meta-model, analysis, data-flow, Meta-Environment, data-flow analysis, meta-objects},
  researchr = {https://researchr.org/publication/SoaresLC09},
  cites = {0},
  citedby = {0},
  pages = {131-140},
  booktitle = {Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I},
  editor = {Cesare Alippi and Marios M. Polycarpou and Christos Panayiotou and Georgios Ellinas},
  volume = {5768},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-04273-7},
}