Classification of planetary nebulae by cluster analysis and artificial neural networks.

Details Classification of planetary nebulae by cluster analysis and artificial neural networks. Classification of planetary nebulae by cluster analysis and artificial neural networks.

Apr 1996

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996a%26as..116..395f&link_type=abstract

Astronomy and Astrophysics Supplement, v.116, p.395-402

Astronomy and Astrophysics

Astrophysics

3

Planetary Nebulae: General, Methods: Miscellaneous

Scientific paper

According to the chemical composition, a sample of 192 Planetary Nebulae of different types has been re-classified, and 41 others have been classified for the first time, by means of two methods not employed so far in this field: hierarchical cluster analysis and supervised artificial neural network. The cluster analysis reveals itself as a good first guess for grouping Planetary Nebulae, while an artificial neural network provides reliable automated classification of this kind of objects.

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