Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/173
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dc.contributor.authorVogiatzis, Dimitriosen
dc.contributor.authorTsapatsoulis, Nicolasen
dc.contributor.otherΤσαπατσούλης, Νικόλας-
dc.date.accessioned2009-05-27T10:46:12Zen
dc.date.accessioned2013-05-17T10:11:45Z-
dc.date.accessioned2015-12-09T11:19:05Z-
dc.date.available2009-05-27T10:46:12Zen
dc.date.available2013-05-17T10:11:45Z-
dc.date.available2015-12-09T11:19:05Z-
dc.date.issued2007en
dc.identifier.citationApplications of Fuzzy Sets Theory, pp.529-536en
dc.identifier.isbn9783540733997en
dc.identifier.urihttp://ktisis.cut.ac.cy/handle/10488/173en
dc.description7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Camogli, Italy, July 7-10, 2007. Proceedingsen
dc.description.abstractWe introduce a new clustering method for DNA microarray data that is based on space filling curves and wavelet denoising. The proposed method is much faster than the established fuzzy c-means clustering because clustering occurs in one dimension and it clusters cells that contain data, instead of data themselves. Moreover, preliminary evaluation results on data sets from Small Round Blue-Cell tumors, Leukemia and Lung cancer microarray experiments show that it can be equally or more accurate than fuzzy c-means clustering or a gaussian mixture model.en
dc.formatpdfen
dc.language.isoenen
dc.publisherSpringer Berlin / Heidelbergen
dc.relation.ispartofseriesLecture Notes in Computer Science;en
dc.rights© Springeren
dc.subjectClusteringen
dc.subjectSpace filling curveen
dc.subjectWaveletsen
dc.subjectMicroarray DNAen
dc.titleClustering Microarray Data with Space Filling Curvesen
dc.typeBook Chapteren
dc.collaborationCyprus University of Technology-
dc.countryCyprus-
dc.identifier.doi10.1007/978-3-540-73400-0en
dc.dept.handle123456789/54en
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.languageiso639-1other-
crisitem.author.deptDepartment of Communication and Internet Studies-
crisitem.author.facultyFaculty of Communication and Media Studies-
crisitem.author.orcid0000-0002-6739-8602-
crisitem.author.parentorgFaculty of Communication and Media Studies-
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