Model-based co-clustering for ordinal data

A model-based coclustering 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. Nu- merical experiments on simulated data illustrate the eciency of the inference strategy.

• Publication year

  2017

• Venue

  Computational Statistics & Data Analysis

• Publication date

  2017-01-27

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1016/j.csda.2018.01.014
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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