/paper_rinclosecvc3

Repository with the codes used in the experiments of the manuscript: Scalability achievements for enumerative biclustering with online partitioning: case studies involving mixed-attribute datasets

Primary LanguagePython

RIn-Close_CVC3

Repository with the codes used in the experiments of the manuscript:

  • Veroneze, R., & Von Zuben, F. J. (2021). Scalability achievements for enumerative biclustering with online partitioning: Case studies involving mixed-attribute datasets. Engineering Applications of Artificial Intelligence, 100, 104147.

Related reports:

  • Veroneze, R., & Von Zuben, F. J. (2020). New advances in enumerative biclustering algorithms with online partitioning. arXiv preprint arXiv:2003.04726.
  • Veroneze, R., & Von Zuben, F. J. (2018). RIn-Close_CVC2: an even more efficient enumerative algorithm for biclustering of numerical datasets. arXiv preprint arXiv:1810.07725.
  • Veroneze, R., & Von Zuben, F. J. (2017). Efficient mining of maximal biclusters in mixed-attribute datasets. arXiv preprint arXiv:1710.03289.

For the current version of RIn-Close algorithms:

https://github.com/rveroneze/rinclose