Cluster Analysis Classification Data Analysis Heuristics Heuristic Algorithms Heuristic Rules
Institute of Information Theories and Applications FOI ITHEA
The paper treats the task for cluster analysis of a given assembly of objects on the basis of the
information contained in the description table of these objects. Various methods of cluster analysis are briefly
considered. Heuristic method and rules for classification of the given assembly of objects are presented for
the cases when their division into classes and the number of classes is not known.
The algorithm is checked by a test example and two program products (PP) – learning systems and software
for company management. Analysis of the results is presented.