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20132017
most citedClustering transformed compositional data using K-means, with applications in gene expression and bicycle sharing system data

75 citations · 109 across the 6 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

stat.CO2017

Variable selection in model-based clustering and discriminant analysis with a regularization approach

Gilles Celeux, Cathy Maugis-Rabusseau, Mohammed Sedki

Relevant methods of variable selection have been proposed in model-based clustering and classification. These methods are making use of backward or forward procedures to define the…

math.ST2017★ 75 cited

Clustering transformed compositional data using K-means, with applications in gene expression and bicycle sharing system data

Antoine Godichon-Baggioni, Cathy Maugis-Rabusseau, Andrea Rau

Although there is no shortage of clustering algorithms proposed in the literature, the question of the most relevant strategy for clustering compositional data (i.e., data made up…