Multi-objective genetic algorithms based approach to clustering and its application to microarray data analysis

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dc.contributor.advisorAlhajj, Reda
dc.contributor.authorLiu, Yimin
dc.date.accessioned2005-08-16T17:10:01Z
dc.date.available2005-08-16T17:10:01Z
dc.date.issued2004
dc.descriptionBibliography: p. 76-86en
dc.format.extentxiii, 91 leaves : ill. ; 30 cm.en
dc.identifier.citationLiu, Y. (2004). Multi-objective genetic algorithms based approach to clustering and its application to microarray data analysis (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/24351en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/24351
dc.identifier.isbn0612976017en
dc.identifier.lccAC1 .T484 2004 L568en
dc.identifier.urihttp://hdl.handle.net/1880/41737
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.titleMulti-objective genetic algorithms based approach to clustering and its application to microarray data analysis
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.thesis.accessionTheses Collection 58.002:Box 1517 520492034
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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