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7 avril 2017: 1 événement

  • Séminaire étudiants

    Vendredi 7 avril 16:00-17:00 - Antoine Godichon - INSA Toulouse

    CLUSTERING TRANSFORMED COMPOSITIONAL DATA USING K-MEANS, WITH APPLICATIONS IN GENE EXPRESSION AND BIKE SHARING SYSTEM DATA

    Notes de dernières minutes : We present a relevant strategy for clustering compositional data (i.e., data blonging to the simplex). This work is motivated by the analysis of two sets of compositional data, both focused on the categorization of profiles but arising from considerably different applications : (1) identifying groups of co-expressed genes from high-throughput RNA sequencing data, in which a given gene may be completely silent in one or more experimental conditions ; and (2) finding patterns in the usage of stations over the course of one week in the Velib’ bicycle sharing system in Paris, France. For both of these applications, we focus on the use of appropriately chosen data transformations, including the Centered Log Ratio and a novel extension we propose called the Log Centered Log Ratio, in conjunction with the K-means algorithm.

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