  With the advent of surveys generating multi-epoch photometry and the
discovery of large numbers of variable stars, the classification of these stars
has to be automatic. We have developed such a classification procedure for
about 1700 stars from the variable star catalogue of ASAS 1-2 (All Sky
Automated Survey, Pojmanski 2000) by selecting the periodic ones and by
applying an unsupervised Bayesian classifier using parameters obtained through
a Fourier decomposition of the light curve. For irregular light curves we used
the period and moments of the magnitude distribution for the classification. In
the case of ASAS 1-2, 83% of variable objects are red giants. A general
relation between the period and amplitude is found for a large fraction of
those stars. The selection led to 302 periodic and 1429 semi-periodic stars
which are classified in 6 major groups: eclipsing binaries, "sinusoidal
curves", Cepheids, small amplitude red variables, SR and Mira stars. The type
classification error level is estimated to be about 7%.
