Automated supervised class. of variable stars
Date of Archiving2007
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Key wordsstars variables: general; stars: binaries: general; techniques: photometric; methods: statistical; methods: data analysis
Light curve parameters for 1777 variable stars, belonging to 35 well known stellar variability classes, are presented. These parameters are used to define the classes and to construct the supervised classifiers described in the paper. They serve as a direct input when using the Gaussian mixture classification code, which is provided as well. Instructions on how to run the code are given in the separate file 'gmreadme.txt'. (3 data files).