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dc.contributor.authorIvannikova, Elena
dc.contributor.editorŠkrjanc, Igor
dc.contributor.editorBlažič, Sašo
dc.date.accessioned2017-12-15T11:49:58Z
dc.date.available2017-12-15T11:49:58Z
dc.date.issued2017
dc.identifier.citationIvannikova, E. (2017). Scalable implementation of dependence clustering in Apache Spark. In I. Škrjanc, & S. Blažič (Eds.), <i>EAIS 2017 : Proceedings of the 2017 Evolving and Adaptive Intelligent Systems (EAIS)</i> (pp. 1-6). IEEE. <a href="https://doi.org/10.1109/EAIS.2017.7954843" target="_blank">https://doi.org/10.1109/EAIS.2017.7954843</a>
dc.identifier.otherCONVID_27339946
dc.identifier.otherTUTKAID_75630
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/56363
dc.description.abstractThis article proposes a scalable version of the Dependence Clustering algorithm which belongs to the class of spectral clustering methods. The method is implemented in Apache Spark using GraphX API primitives. Moreover, a fast approximate diffusion procedure that enables algorithms of spectral clustering type in Spark environment is introduced. In addition, the proposed algorithm is benchmarked against Spectral clustering. Results of applying the method to real-life data allow concluding that the implementation scales well, yet demonstrating good performance for densely connected graphs.
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofEAIS 2017 : Proceedings of the 2017 Evolving and Adaptive Intelligent Systems (EAIS)
dc.subject.otherdatasets
dc.subject.otherdependence clustering
dc.subject.otherclustering algorithms
dc.subject.otherApache Spark
dc.titleScalable implementation of dependence clustering in Apache Spark
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-201712134660
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2017-12-13T10:15:14Z
dc.relation.isbn978-1-5090-6444-1
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange1-6
dc.relation.issn2473-4691
dc.type.versionacceptedVersion
dc.rights.copyright© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceEvolving and Adaptive Intelligent Systems
dc.subject.ysoalgoritmit
dc.subject.ysotietojenkäsittely
dc.subject.ysotiedonlouhinta
jyx.subject.urihttp://www.yso.fi/onto/yso/p14524
jyx.subject.urihttp://www.yso.fi/onto/yso/p2407
jyx.subject.urihttp://www.yso.fi/onto/yso/p5520
dc.relation.doi10.1109/EAIS.2017.7954843
dc.type.okmA4


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