Statistics – Computation
Scientific paper
Nov 1996
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996jcoph.129...30s&link_type=abstract
Journal of Computational Physics, vol. 129, p. 30-40
Statistics
Computation
1
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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