dc.contributor.author | Cordeiro De Amorim, Renato | |
dc.contributor.author | Fenner, Trevor | |
dc.date.accessioned | 2016-04-04T11:47:11Z | |
dc.date.available | 2016-04-04T11:47:11Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Cordeiro De Amorim , R & Fenner , T 2012 , Weighting Features for Partition around Medoids Using the Minkowski Metric . in Advances in Intelligent Data Analysis XI . Lecture Notes in Computer Science , vol. 7619 , Springer Nature , pp. 35-44 , 11th Int Symposium, IDA 2012 , Helsinki , Finland , 25/10/12 . https://doi.org/10.1007/978-3-642-34156-4_5 | |
dc.identifier.citation | conference | |
dc.identifier.isbn | 978-3-642-34155-7 | |
dc.identifier.isbn | 978-3-642-34156-4 | |
dc.identifier.other | PURE: 9822454 | |
dc.identifier.other | PURE UUID: f75fa449-7a02-4282-999d-a8934938a831 | |
dc.identifier.other | Scopus: 84868015386 | |
dc.identifier.uri | http://hdl.handle.net/2299/16911 | |
dc.description.abstract | In this paper we introduce the Minkowski weighted partition around medoids algorithm (MW-PAM). This extends the popular partition around medoids algorithm (PAM) by automatically assigning K weights to each feature in a dataset, where K is the number of clusters. Our approach utilizes the within-cluster variance of features to calculate the weights and uses the Minkowski metric. We show through many experiments that MW-PAM, particularly when initialized with the Build algorithm (also using the Minkowski metric), is superior to other medoid-based algorithms in terms of both accuracy and identification of irrelevant features. | en |
dc.language.iso | eng | |
dc.publisher | Springer Nature | |
dc.relation.ispartof | Advances in Intelligent Data Analysis XI | |
dc.relation.ispartofseries | Lecture Notes in Computer Science | |
dc.title | Weighting Features for Partition around Medoids Using the Minkowski Metric | en |
dc.contributor.institution | School of Computer Science | |
rioxxterms.versionofrecord | https://doi.org/10.1007/978-3-642-34156-4_5 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |