R package BNPMIXcluster. Bayesian Nonparametric Model for Clustering with Mixed Scale Variables. Bayesian nonparametric approach for clustering that is capable to combine different types of variables (continuous, ordinal and nominal) and also accommodates for different sampling probabilities in a complex survey design. The model is based on a location mixture model with a Poisson-Dirichlet process prior on the location parameters of the associated latent variables. The package performs the clustering model described in Carmona, C., Nieto-Barajas, L. E., Canale, A. (2016) <http://arxiv.org/abs/1612.00083>.
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Corradin, R., Canale, A.,Nipoti, B: BNPmix: An R Package for Bayesian Nonparametric Modeling via Pitman-Yor Mixtures (2021) not zbMATH
- Carmona, Christian; Nieto-Barajas, Luis; Canale, Antonio: Model-based approach for household clustering with mixed scale variables (2019)