A new method of reduction of dimensionality in disctrminant analysis: application to the membership problem in open clusters

Title:

A new method of reduction of dimensionality in disctrminant analysis: application to the membership problem in open clusters

Creator:

Cabrera-Caño, J., Muñoz, J., and Alfaro, J.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:40f7c1ec-70ca-4f8a-bd7d-e79bd14bed05
uuid:40f7c1ec-70ca-4f8a-bd7d-e79bd14bed05

Subject:

space research, discriminant analysis, and open clusters

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

A method of reduction of dimensionality in discriminant analysis has been specially designed for this study of separation between two populations and it is only based on the heterocedasticity of both groups. For this reason, it is of interest in the case of zero mean difference vector. Two examples of application, concerning the membership problem in open clusters from uvby and Hβ photometry and the separation of globular clusters into Oosterhoff's groups are shown.

Language:

Czech

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

189-192

Source:

Publications of the Astronomical Institute of the Academy of Sciences of the Czech Republic | 1987 Volume:63-70 | Number:69

Harvested from:

CDK

Metadata only:

false