The use of hierarchic clustering in information retrieval

Information Storage and Retrieval

Volumn 7, Issue 5, 1971, Pages 217-240

  Jardine, N ^a   van Rijsbergen, C J ^a  

^a KING'S COLLEGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 49649154957     PISSN: 00200271     EISSN: None     Source Type: Journal    
DOI: 10.1016/0020-0271(71)90051-9     Document Type: Article

References (47)

1. Evaluation parameters
2. Effectiveness of information retrieval methods
3. THE PARAMETRIC DESCRIPTION OF RETRIEVAL TESTS
4. Evaluation Tests of Information Retrieval Systems
5. Trees, Forests and Rearranging
6. Measures of Association for Cross Classifications. II: Further Discussion and References
7. On Relevance, Probabilistic Indexing and Information Retrieval
8. SOME THOUGHTS ON CLASSIFICATION FOR RETRIEVAL
9. Speculations concerning information retrieval
10. On some clustering techniques for information retrieval
11. KEYWORDS AND CLUMPS
12. Document Retrieval Systems—Optimisation and Evaluation
13. A test algorithm for automatic classification
14. Semantic Clustering of Index Terms
15. An Analysis of Some Graph Theoretical Cluster Techniques
16. Deriving term relations for a corpus by graph theoretical clusters
17. On Some Clustering Techniques
18. Automatic Document Classification
19. Utility of Automatic Classification Systems for Information Storage and Retrieval
20. Hierarchical Grouping to Optimize an Objective Function
21. The Construction of Hierarchic and Non-Hierarchic Classifications
22. Automatic Classification and Information Retrieval
23. The Association Factor in Information Retrieval