A modified relationship based clustering framework for density based clustering and outlier filtering on high dimensional datasets

Basit Öğe Kaydı
dc.contributor.authorBilgin, Turgay Tugay
dc.contributor.authorCamurcu, A. Yilmaz
dc.contributor.editorZhou, ZH; Li, H; Yang, Q
dc.date.accessioned2024-07-12T21:59:44Z
dc.date.available2024-07-12T21:59:44Z
dc.date.issued2007en_US
dc.departmentMaltepe Üniversitesi, Rektörlüken_US
dc.description11th Pacific-Asia Conference on Knowledge Discovery and Data Mining -- MAY 22-25, 2007-5007 -- Nanjing, PEOPLES R CHINAen_US
dc.description.abstractIn this study, we propose a modified version of relationship based clustering framework dealing with density based clustering and outlier detection in high dimensional datasets. Originally, relationship based clustering framework is based on METIS. Therefore, it has some drawbacks such as no outlier detection and difficulty of determining the number of clusters. We propose two improvements over the framework. First, we introduce a new space which consists of tiny partitions created by METIS, hence we call it micro-partition space. Second, we used DBSCAN for clustering micro-partition space. The visualization of the results are carried out by CLUSION. Our experiments have shown that, our proposed framework produces promising results on high dimensional datasets.en_US
dc.description.sponsorshipNanjing Univ, LAMDA Grp, Nanjing Univ Aeronaut & Astronaut, Japanese Soc Artificial Intelligence, Singapore Inst Stat, Natl Nat Sci Fdn China, Microsoft adCenter Labs, NEC Labs China, Microsoft Res Asia, Salford Syst, KC Wong Educ Fdnen_US
dc.description.sponsorshipMarmara University Scientific Research Projects Committee (BAPKO) [FEN DKR-270306-0055]en_US
dc.description.sponsorshipThe research for this article was supported by grant number FEN DKR-270306-0055 from Marmara University Scientific Research Projects Committee (BAPKO).en_US
dc.identifier.endpage+en_US
dc.identifier.isbn978-3-540-71700-3
dc.identifier.issn0302-9743
dc.identifier.scopus2-s2.0-38049136657en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage409en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12415/8971
dc.identifier.volume4426en_US
dc.identifier.wosWOS:000246475100040en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherSPRINGER-VERLAG BERLINen_US
dc.relation.ispartofADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGSen_US
dc.relation.isversionofLecture Notes in Computer Scienceen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY06017
dc.titleA modified relationship based clustering framework for density based clustering and outlier filtering on high dimensional datasetsen_US
dc.typeConference Object
dspace.entity.typePublication

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu