In this study an automatic cluster is done on data froma a Waster Water
Treatment Plant to obtain specific knowledge of an ill-structured domain
like biological wastewater treatment process. The whole process requires
the supervision of the expert of the process.
This clustering is done using KLASS, which allows to deal simultaneously
with numerical and symbolic variables in the description of objects.
From this automatic classification, we obtain a set of clusters that can
be labelled as typical operational states. All the knowledge and
information acquired will be constitute the initial library of a case base
reasoning system that together with expert system constitute a decision
support system for this WWTP.Postprint (published version
