dc.contributor.author | Pensuwon, W. | |
dc.contributor.author | Adams, R.G. | |
dc.contributor.author | Davey, N. | |
dc.date.accessioned | 2007-10-03T14:37:54Z | |
dc.date.available | 2007-10-03T14:37:54Z | |
dc.date.issued | 2001 | |
dc.identifier.citation | Pensuwon , W , Adams , R G & Davey , N 2001 , ' Comparative performances of stochastic competitive evolutionary neural tree (SCENT) with neural classifiers ' , Paper presented at Int Conf on Neural Information Processing (ICONIP 2001) , Shanghai , China , 14/11/01 - 18/11/01 pp. 121-126 . | |
dc.identifier.citation | conference | |
dc.identifier.other | dspace: 2299/830 | |
dc.identifier.uri | http://hdl.handle.net/2299/830 | |
dc.description.abstract | A stochastic competitive evolutionary neural tree (SCENT) is described and evaluated against the best neural classifiers with equivalent functionality, using a collection of data sets chosen to provide a variety of clustering scenarios. SCENT is firstly shown to produce flat classifications at least as well as the other two neural classifiers used. Moreover its variability in performance over the data sets is shown to be small. In addition SCENT also produces a tree that can show any hierarchical structure contained in the data. For two real world data sets the tree captures hierarchical features of the data. | en |
dc.format.extent | 131952 | |
dc.language.iso | eng | |
dc.relation.ispartof | | |
dc.title | Comparative performances of stochastic competitive evolutionary neural tree (SCENT) with neural classifiers | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.description.status | Peer reviewed | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |