Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms |
| |
Authors: | A. P. Reynolds G. Richards B. de la Iglesia V. J. Rayward-Smith |
| |
Affiliation: | (1) School of Computing Sciences, University of East Anglia, Norwich, UK |
| |
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. |
| |
Keywords: | clustering partial classification rule induction |
本文献已被 SpringerLink 等数据库收录! |
|