Classification des journées en fonction des radiations solaires sur l'île de la Réunion

National audienceL'objectif de cet article est de montrer les intérêts et les inconvénients de deux approches classificatoires de courbes. La première est basée sur une représentation des courbes sous forme vectorielle, la seconde propose la distance de D'Urso et Vichi qui est basée sur les première et seconde dérivées finies. Cette dernière intègre au mieux les propriétés mathématiques des courbes. Ces deux approches seront appliquées à la classification de sources de production d'énergie de type photovoltaïque

Partitioning hard clustering algorithms based on multiple dissimilarity matrices

International audienceThis paper introduces hard clustering algorithms that are able to partition objects taking into account simultaneously their relational descriptions given by multiple dissimilarity matrices. These matrices have been generated using different sets of variables and dissimilarity functions. These methods are designed to furnish a partition and a prototype for each cluster as well as to learn a relevance weight for each dissimilarity matrix by optimizing an adequacy criterion that measures the fitting between the clusters and their representatives. These relevance weights change at each algorithm iteration and can either be the same for all clusters or different from one cluster to another. Experiments with data sets (synthetic and from UCI machine learning repository) described by real-valued variables as well as with time trajectory data sets show the usefulness of the proposed algorithms