Abstract
Many algorithms concerning the separation or detection of components are based on two statistical methods: The Kernel Method (De Jager et al. 1986) or the Likelihood Statistic (Sutherland & Saunders 1992). All these standard methods have one or more restrictions (e.g. known number of groups or differentiability of the components). This paper presents a short introduction to a new algorithm, which works without any mathematical restriction concerning the dataset. An example with an artificial dataset has already been presented (Kienel & Kimeswenger 1995). In this paper we will present preliminary results worked out with colour-colour diagrams of IRAS sources.
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References
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© 1997 Springer Science+Business Media Dordrecht
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Kienel, C., Kimeswenger, S. (1997). Detection of Covered Substructures in Multidimensional Parameter Space. In: Garzón, F., Epchtein, N., Omont, A., Burton, B., Persi, P. (eds) The Impact of Large Scale Near-IR Sky Surveys. Astrophysics and Space Science Library, vol 210. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5784-1_43
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DOI: https://doi.org/10.1007/978-94-011-5784-1_43
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