A Pretopological Approach for Clustering (?)

Abstract: The aim of this work is to define a clustering algorithm starting from the pretopological results related to the minimal closed subset concepts. However the minimal closed subsets algorithm generally does not lead us to a clustering of the population under interest. Thus, we propose to define a new clustering method, based on this algorithm. Our method involves two steps: the first one consists in structuring the population by the minimal closed subsets method and the second one consists in building a clustering of the population, starting from the previously obtained structuring. This method is tested on data from the ”CRAM ” of Lyon and from the emergency service of ”Hôpital Edouard Herriot ” of Lyon