Conceptual Clustering, Categorization, and Polymorphy

Machine Learning

Volumn 3, Issue 4, 1989, Pages 343-372

  Hanson, Stephen José ^a   Bauer, Malcolm ^a  

^a NONE

Author keywords

categorization; coherence; Conceptual clustering; correlation; knowledge structures; polymorphy

Indexed keywords

EID: 0000783818     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1023/A:1022697818275     Document Type: Article

References (33)

1. Explanation-based learning:An alternative view
2. New problem in concept formation
3. Memory storage and retrieval processes in category learning
4. Information, uncertainty, and the utility of categories
5. Knowledge acquisition via incremental conceptual clustering
6. Adaptive pattern classification and universal recoding. Part I:Parallel development and coding of neural feature detectors
7. Abstraction of ill-defined form
8. Note on a new information-statistic classificatory program
9. Experiments with incremental concept formation:UNI-MEM
10. Family re-semblance, conceptual cohesiveness and category construction
11. Knowledge acquisition through conceptual cluster-ing:A theoretical framework and an algorithm for partitioning data into conjunctive concepts
12. Learning from observation:Con-ceptual clustering
13. Automated construction of classifi-cations:Conceptual clustering verses numerical taxonomy
14. Empirical methods in the study of semantics
15. Explanation-based generalization:A unifying view
16. Cue validity and levels of categorization
17. The role of theories in conceptual coherence
18. Information analysis of structure in biological collections
19. On the genesis of abstract ideas
20. Basic objects in natural categories
21. Transcending inductive category formation in learning
22. An information measure for classification
23. Learning structural descriptions from examples
24. Fuzzy sets