MinhChauVanNguyen / clustord

clustord

The package is not frequently built as a full package yet, so it would be better to take a clone of the code, and source the various files, which are found in the "R" folder.

The three top-level functions are rowclustering, columnclustering and biclustering, all in the "clustering.R" file, and they have standard R-style manuals to explain their usage.

If you need any more help, please email [e-mail].

Citations

When using the OSM methods, please cite:

Fernández, D., Arnold, R., & Pledger, S. (2016). Mixture-based clustering for the ordered stereotype model. Computational Statistics & Data Analysis, 93, 46-75.

@article{fernandez2016mixture,
  title={Mixture-based clustering for the ordered stereotype model},
  author={Fern{\'a}ndez, Daniel and Arnold, Richard and Pledger, Shirley},
  journal={Computational Statistics \& Data Analysis},
  volume={93},
  pages={46--75},
  year={2016},
  publisher={Elsevier}
}

When using the POM methods, please cite:

Matechou, E., Liu, I., Fernández, D., Farias, M., & Gjelsvik, B. (2016). Biclustering models for two-mode ordinal data. psychometrika, 81(3), 611-624.

@article{matechou2016biclustering,
  title={Biclustering models for two-mode ordinal data},
  author={Matechou, Eleni and Liu, Ivy and Fern{\'a}ndez, Daniel and Farias, Miguel and Gjelsvik, Bergljot},
  journal={psychometrika},
  volume={81},
  number={3},
  pages={611--624},
  year={2016},
  publisher={Springer}
}

When using the Binary methods, please cite:

Pledger, S., & Arnold, R. (2014). Multivariate methods using mixtures: Correspondence analysis, scaling and pattern-detection. Computational Statistics & Data Analysis, 71, 241-261.

@article{pledger2014multivariate,
  title={Multivariate methods using mixtures: Correspondence analysis, scaling and pattern-detection},
  author={Pledger, Shirley and Arnold, Richard},
  journal={Computational Statistics \& Data Analysis},
  volume={71},
  pages={241--261},
  year={2014},
  publisher={Elsevier}
}