Reynolds, A. P., Richards, G., de la Iglesia, B. ORCID: https://orcid.org/0000-0003-2675-5826 and Rayward-Smith, V. J. (2006) Clustering rules: A comparison of partitioning and hierarchical clustering algorithms. Journal of Mathematical Modelling and Algorithms, 5 (4). pp. 475-504. ISSN 1570-1166
Full text not available from this repository. (Request a copy)Abstract
Previous research has resulted in a number of different algorithms for rule discovery. Two approaches discussed here, the ‘all-rules’ algorithm and multi-objective metaheuristics, both result in the production of a large number of partial classification rules, or ‘nuggets’, for describing different subsets of the records in the class of interest. This paper describes the application of a number of different clustering algorithms to these rules, in order to identify similar rules and to better understand the data.
Item Type: | Article |
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Faculty \ School: | Faculty of Science > School of Computing Sciences |
UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023) Faculty of Science > Research Groups > Data Science and Statistics Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre |
Depositing User: | Vishal Gautam |
Date Deposited: | 26 May 2011 10:40 |
Last Modified: | 17 Apr 2023 23:35 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/22070 |
DOI: | 10.1007/s10852-005-9022-1 |
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