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Implementation of Hierarchical Clustering Methods

✍ Scribed by Arturo Serna

Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
366 KB
Volume
129
Category
Article
ISSN
0021-9991

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✦ Synopsis

methods to distribute a set of objects into a set of groups. Among these methods, hierarchical clustering gives the

We present an implementation of hierarchical clustering methods to distribute a set of objects into a set of groups. Our code is particu-clearest insight into the structure of a cluster and allows larly conceived to identify and analyze substructures in galaxy clusa relatively easy identification of the members of a group.

ters or in large-scale catalogues. However, its general scheme This kind of method can be formulated in terms of operaallows for very easy adaptation to any other kinds of systems and tional concepts, and it has been applied in the field of physical problems. The algorithms to draw the hierarchical tree astronomy by Materne [3], Tully [4, 5], Gourgoulhon et al. associated to a given sample of data, as well as those for analyzing and interpreting the results obtained from this technique, are also [6], and Serna and Gerbal [2].

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