This report focuses on results obtained from a classification
technique applied to time series data in a medical ill-structured
The statistical analysis and classification --in ill-structured--
of such data are often inadequate because of the intrinsic
characteristics of those domains.
The database in this analysis contains information relative to
patients with major depressive disorders or esquizofrenia; as a
consequence, a high quantity of database variables contain data
corresponding to measures taken in different instant of time,
making curves.
For this reason we are motivated about how we can establish a
useful classification technique of curves in a medical
ill-structured domain.Postprint (published version
