To cite the toolbox flamingos in a publication please use the following reference. To cite the corresponding paper for a specific package from flamingos (e.g mixRHLP, mixHMM, mixHMMR, etc), please choose the reference(s) from the list provided below.

Chamroukhi F, Bartcus M, Lecocq F (2019). flamingos: Functional Latent Data Models for Clustering Heterogeneous Curves ('FLaMingos'). R package version 0.1.0, https://github.com/fchamroukhi/FLaMingos.

Chamroukhi F, Nguyen H (2019). “Model-Based Clustering and Classification of Functional Data.” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. doi:10.1002/widm.1298, https://chamroukhi.com/papers/MBCC-FDA.pdf.

Chamroukhi F (2016). “Unsupervised learning of regression mixture models with unknown number of components.” Journal of Statistical Computation and Simulation, 86, 2308–2334. https://chamroukhi.com/papers/Chamroukhi-JSCS-2015.pdf.

Chamroukhi F (2016). “Piecewise Regression Mixture for Simultaneous Functional Data Clustering and Optimal Segmentation.” Journal of Classification, 33(3), 374–411. https://chamroukhi.com/papers/Chamroukhi-PWRM-JournalClassif-2016.pdf.

Chamroukhi F (2015). Statistical learning of latent data models for complex data analysis. Habilitation Thesis (HDR), Universit'e de Toulon.

Chamroukhi F, Glotin H, Samé A (2013). “Model-based functional mixture discriminant analysis with hidden process regression for curve classification.” Neurocomputing, 112, 153–163.

Chamroukhi F, Glotin H (2012). “Mixture model-based functional discriminant analysis for curve classification.” In Proceedings of the International Joint Conference on Neural Networks (IJCNN), IEEE, 1–8. https://chamroukhi.com/papers/Chamroukhi-ijcnn-2012.pdf.

Samé A, Chamroukhi F, Govaert G, Aknin P (2011). “Model-based clustering and segmentation of time series with changes in regime.” Advances in Data Analysis and Classification, 5, 301–321.

Chamroukhi F, Samé A, Aknin P, Govaert G (2011). “Model-based clustering with Hidden Markov Model regression for time series with regime changes.” In Proceedings of the International Joint Conference on Neural Networks (IJCNN), IEEE, 2814–2821. https://chamroukhi.com/papers/Chamroukhi-ijcnn-2011.pdf.

Chamroukhi F, Samé A, Govaert G, Aknin P (2010). “A hidden process regression model for functional data description. Application to curve discrimination.” Neurocomputing, 73(7-9), 1210–1221. https://chamroukhi.com/papers/chamroukhi_neucomp_2010.pdf.

Chamroukhi F (2010). Hidden process regression for curve modeling, classification and tracking. Ph.D. Thesis, Universit'e de Technologie de Compi'egne. https://chamroukhi.com/papers/FChamroukhi-Thesis.pdf.

Corresponding BibTeX entries:

  @Manual{,
    title = {flamingos: Functional Latent Data Models for Clustering
      Heterogeneous Curves ('FLaMingos')},
    author = {F. Chamroukhi and M. Bartcus and F. Lecocq},
    year = {2019},
    note = {R package version 0.1.0},
    url = {https://github.com/fchamroukhi/FLaMingos},
  }

  @Article{,
    title = {Model-Based Clustering and Classification of Functional
      Data},
    author = {F. Chamroukhi and Hien D. Nguyen},
    journal = {Wiley Interdisciplinary Reviews: Data Mining and
      Knowledge Discovery},
    year = {2019},
    url = {https://chamroukhi.com/papers/MBCC-FDA.pdf},
    doi = {10.1002/widm.1298},
  }

  @Article{,
    title = {Unsupervised learning of regression mixture models with
      unknown number of components},
    author = {F. Chamroukhi},
    journal = {Journal of Statistical Computation and Simulation},
    volume = {86},
    pages = {2308--2334},
    year = {2016},
    publisher = {Taylor & Francis Online},
    url = {https://chamroukhi.com/papers/Chamroukhi-JSCS-2015.pdf},
  }

  @Article{,
    title = {Piecewise Regression Mixture for Simultaneous Functional
      Data Clustering and Optimal Segmentation},
    author = {F. Chamroukhi},
    journal = {Journal of Classification},
    volume = {33},
    number = {3},
    pages = {374--411},
    year = {2016},
    url =
      {https://chamroukhi.com/papers/Chamroukhi-PWRM-JournalClassif-2016.pdf},
  }

  @PhdThesis{,
    title = {Statistical learning of latent data models for complex
      data analysis},
    author = {F. Chamroukhi},
    school = {Universit'{e} de Toulon},
    year = {2015},
    type = {{Habilitation Thesis (HDR)}},
  }

  @Article{,
    title = {Model-based functional mixture discriminant analysis with
      hidden process regression for curve classification},
    author = {F. Chamroukhi and H. Glotin and A. Sam\'{e}},
    journal = {Neurocomputing},
    year = {2013},
    volume = {112},
    pages = {153--163},
  }

  @InProceedings{,
    title = {Mixture model-based functional discriminant analysis for
      curve classification},
    booktitle = {Proceedings of the International Joint Conference on
      Neural Networks (IJCNN), IEEE},
    author = {F. Chamroukhi and H. Glotin},
    pages = {1--8},
    address = {Brisbane, Australia},
    year = {2012},
    url = {https://chamroukhi.com/papers/Chamroukhi-ijcnn-2012.pdf},
    slides =
      {https://chamroukhi.com/conf-presentations/talk-ijcnn-2013.pdf},
  }

  @Article{,
    title = {Model-based clustering and segmentation of time series
      with changes in regime},
    author = {A. Sam\'{e} and F. Chamroukhi and G. Govaert and P.
      Aknin},
    journal = {Advances in Data Analysis and Classification},
    publisher = {Springer Berlin / Heidelberg},
    year = {2011},
    volume = {5},
    pages = {301--321},
  }

  @InProceedings{,
    title = {Model-based clustering with Hidden Markov Model regression
      for time series with regime changes},
    booktitle = {Proceedings of the International Joint Conference on
      Neural Networks (IJCNN), IEEE},
    author = {F. Chamroukhi and A. Sam\'{e} and P. Aknin and G.
      Govaert},
    year = {2011},
    month = {Jul-Aug},
    pages = {2814--2821},
    url = {https://chamroukhi.com/papers/Chamroukhi-ijcnn-2011.pdf},
  }

  @Article{,
    title = {A hidden process regression model for functional data
      description.  Application to curve discrimination},
    author = {F. Chamroukhi and A. Sam\'{e} and G. Govaert and P.
      Aknin},
    journal = {Neurocomputing},
    year = {2010},
    volume = {73},
    number = {7-9},
    pages = {1210--1221},
    url = {https://chamroukhi.com/papers/chamroukhi_neucomp_2010.pdf},
  }

  @PhdThesis{,
    title = {Hidden process regression for curve modeling,
      classification and tracking},
    author = {F. Chamroukhi},
    school = {Universit'{e} de Technologie de Compi`{e}gne},
    year = {2010},
    type = {Ph.D. Thesis},
    url = {https://chamroukhi.com/papers/FChamroukhi-Thesis.pdf},
  }