Clustering Model for ordinal data

Background

Co-clustering model for ordinal data model-based co-clustering algorithm for ordinal data is presented. This algorithm relies on the latent block model using the BOS model (Biernacki and Jacques, 2015, Stat. Comput.) for ordinal data and a SEM-Gibbs algorithm for inference. Numerical experiments on simulated data illustrate the efficiency of the inference strategy. (http://papersjds16.sfds.asso.fr/submission_109.pdf)

Scope

• Shiny Web Interface
• Optimise execution time by refactoring code using RcppAmardillo package
• Create a user friendly R package.

Mentors

Julien Jacques and Christophe Biernacki

Student

Krishna Kalyan | https://github.com/krishnakalyan3 | Master student at Universitat Politècnica de Catalunya