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This package proposes a model-based clustering algorithm for multivariate functional data. The parametric mixture model, based on the assumption of normality of the principal components resulting from a multivariate functional PCA, is estimated by an EM-like algorithm. The main advantage of the proposed algorithm is its ability to take into account the dependence among curves.
Package details |
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Author | Mohamed Soueidatt <mohamed.soueidatt@inria.fr>, <msoueidatt@gmail.com>*. |
Maintainer | ORPHANED |
License | GPL (>= 2) |
Version | 1.0.2 |
Package repository | View on CRAN |
Installation |
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