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Unsupervised ensemble minority clustering
dc.contributor.author | González Pellicer, Edgar |
dc.contributor.author | Turmo Borras, Jorge |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2012-03-26T13:51:19Z |
dc.date.available | 2012-03-26T13:51:19Z |
dc.date.created | 2012-03 |
dc.date.issued | 2012-03 |
dc.identifier.citation | González, E.; Turmo, J. "Unsupervised ensemble minority clustering". 2012. |
dc.identifier.uri | http://hdl.handle.net/2117/15664 |
dc.description.abstract | Cluster a alysis lies at the core of most unsupervised learning tasks. However, the majority of clustering algorithms depend on the all-in assumption, in which all objects belong to some cluster, and perform poorly on minority clustering tasks, in which a small fraction of signal data stands against a majority of noise. The approaches proposed so far for minority clustering are supervised: they require the number and distribution of the foreground and background clusters. In supervised learning and all-in clustering, combination methods have been successfully applied to obtain distribution-free learners, even from the output of weak individual algorithms. In this report, we present a novel ensemble minority clustering algorithm, Ewocs, suitable for weak clustering combination, and provide a theoretical proof of its properties under a loose set of constraints. The validity of the assumptions used in the proof is empirically assessed using a collection of synthetic datasets. |
dc.format.extent | 18 p. |
dc.language.iso | eng |
dc.relation.ispartofseries | LSI-12-4-R |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural |
dc.subject.lcsh | Clustering |
dc.title | Unsupervised ensemble minority clustering |
dc.type | External research report |
dc.subject.lemac | Clústers |
dc.contributor.group | Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural |
dc.relation.publisherversion | http://www.lsi.upc.edu/dept/techreps/llistat_detallat.php?id=1117 |
dc.rights.access | Open Access |
local.identifier.drac | 9962153 |
dc.description.version | Preprint |
local.citation.author | González, E.; Turmo, J. |
local.citation.publicationName | Unsupervised ensemble minority clustering |
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