Implementation of Hierarchical Clustering Methods

Statistics – Computation

Scientific paper

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Numerical Methods, Galaxies: Clustering

Scientific paper

We present an implementation of hierarchical clustering methods to distribute a set of objects into a set of groups. Our code is particularly conceived to identify and analyze substructures in galaxy clusters or in large-scale catalogues. However, its general scheme allows for very easy adaptation to any other kinds of systems and physical problems. The algorithms to draw the hierarchical tree associated to a given sample of sata, as well as those for analyzing and interpreting the results obtained from this technique, are also presented here

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