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Section: New Software and Platforms
FunHDDC
Functional Description
FunHDDC package for R proposes a clustering tool for functional data. The model-based clustering algorithm considers that functional data live in cluster-specific subspaces.
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Functional data analysis applied to hydrological or environnemental data
- New functional regression model when data are auto-correlated
- Differential gene expression analysis
- Evolutionary clustering for categorical data
- Clustering categorical functional data: Application to medical discharge letters
- Degeneracy in Gaussian Mixtures with missing data
- Model for conditionally correlated categorical data
- Model-based clustering for multivariate partial ordinal data
- Semi-Linear Auto-Associative Model
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Functional data analysis applied to hydrological or environnemental data
- New functional regression model when data are auto-correlated
- Differential gene expression analysis
- Evolutionary clustering for categorical data
- Clustering categorical functional data: Application to medical discharge letters
- Degeneracy in Gaussian Mixtures with missing data
- Model for conditionally correlated categorical data
- Model-based clustering for multivariate partial ordinal data
- Semi-Linear Auto-Associative Model
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography