Show simple item record Diao, Ren Shen, Qiang 2010-07-27T14:11:58Z 2010-07-27T14:11:58Z 2010-07-27
dc.identifier.citation Diao , R & Shen , Q 2010 , ' Two New Approaches to Feature Selection with Harmony Search ' pp. 3161-3167 . en
dc.identifier.other PURE: 159322
dc.identifier.other dspace: 2160/4872
dc.description R. Diao and Q. Shen. Two New Approaches to Feature Selection with Harmony Search. Proceedings of the 19th International Conference on Fuzzy Systems (FUZZ-IEEE'10), pp. 3161-3167, 2010. en
dc.description.abstract Many search strategies have been exploited in implementing feature selection, in an effort to identify smaller and better subsets. Such work typically involves the use of heuristics in one form or another. In this paper two novel methods are presented by applying harmony search to feature selection. In particular, it demonstrates the potential of utilising this search mechanism in combination with fuzzy-rough feature evaluation. The resulting techniques are compared with approaches that rely on hill-climbing, genetic algorithms and particle swarm optimisation. en
dc.format.extent 7 en
dc.language.iso eng
dc.relation.ispartof en
dc.title Two New Approaches to Feature Selection with Harmony Search en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Department of Computer Science en
dc.description.status Non peer reviewed en

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