PPT Slide
Representation and organization of clusters
Interpretation of results
Human-machine interaction
Critical points of conceptual clustering
- no sharp boundaries of concepts
- classical, probabilistic, exemplar views on concepts
- disjoint vs. overlapping models
- similarity, correlation, structure constraints
- a collaboration between man and system is crucial