R package MBCbook: Companion Package for the Book ”Model-Based Clustering and Classification for Data Science” by Bouveyron et al. (2019, ISBN:9781108644181). The companion package provides all original data sets and functions that are used in the book ”Model-Based Clustering and Classification for Data Science” by Charles Bouveyron, Gilles Celeux, T. Brendan Murphy and Adrian E. Raftery (2019, ISBN:9781108644181).

References in zbMATH (referenced in 11 articles , 1 standard article )

Showing results 1 to 11 of 11.
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  1. Golovkine, Steven; Klutchnikoff, Nicolas; Patilea, Valentin: Clustering multivariate functional data using unsupervised binary trees (2022)
  2. Jones, Corinne; Roulet, Vincent; Harchaoui, Zaid: Discriminative clustering with representation learning with any ratio of labeled to unlabeled data (2022)
  3. Levantesi, Susanna; Nigri, Andrea; Piscopo, Gabriella: Clustering-based simultaneous forecasting of life expectancy time series through Long-Short Term Memory Neural Networks (2022)
  4. Wang, Bingling; Li, Yingxing; Härdle, Wolfgang Karl: (K)-expectiles clustering (2022)
  5. Ahfock, Daniel; McLachlan, Geoffrey J.: Harmless label noise and informative soft-labels in supervised classification (2021)
  6. Cappozzo, Andrea; Greselin, Francesca; Murphy, Thomas Brendan: Robust variable selection for model-based learning in presence of adulteration (2021)
  7. Casa, Alessandro; Bouveyron, Charles; Erosheva, Elena; Menardi, Giovanna: Co-clustering of time-dependent data via the shape invariant model (2021)
  8. Jouvin, Nicolas; Latouche, Pierre; Bouveyron, Charles; Bataillon, Guillaume; Livartowski, Alain: Greedy clustering of count data through a mixture of multinomial PCA (2021)
  9. Ng, Tin Lok James; Murphy, Thomas Brendan: Model-based clustering of count processes (2021)
  10. Schmutz, Amandine; Jacques, Julien; Bouveyron, Charles; Chèze, Laurence; Martin, Pauline: Clustering multivariate functional data in group-specific functional subspaces (2020)
  11. Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan; Raftery, Adrian E.: Model-based clustering and classification for data science. With applications in R (2019)