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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/7244
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dc.contributor.authorGyllenberg, Matsen_UK
dc.contributor.authorKoski, Timoen_UK
dc.contributor.authorDawyndt, Peteren_UK
dc.contributor.authorLund, Tatuen_UK
dc.contributor.authorThompson, Fabiano Len_UK
dc.contributor.authorAustin, Brianen_UK
dc.contributor.authorSwings, Jeanen_UK
dc.date.accessioned2018-02-01T08:45:39Z-
dc.date.available2018-02-01T08:45:39Zen_UK
dc.date.issued2002-10en_UK
dc.identifier.urihttp://hdl.handle.net/1893/7244-
dc.description.abstractWe apply minimization of stochastic complexity and the closely related method of cumulative classification to analyse the extensively studied BIOLOG GN data of Vibrio spp. Minimization of stochastic complexity provides an objective tool of bacterial taxonomy as it produces classifications that are optimal from the point of view of information theory. We compare the outcome of our results with previously published classifications of the same data set. Our results both confirm earlier detected relationships between species and discover new ones.en_UK
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.relationGyllenberg M, Koski T, Dawyndt P, Lund T, Thompson FL, Austin B & Swings J (2002) New methods for the analysis of binarized BIOLOG GN data of vibrio species: Minimization of stochastic complexity and cumulative classification. Systematic and Applied Microbiology, 25 (3), pp. 403-415. https://doi.org/10.1078/0723-2020-00109en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectbacterial taxonomyen_UK
dc.subjectmachine learningen_UK
dc.subjectcumulative classificationen_UK
dc.titleNew methods for the analysis of binarized BIOLOG GN data of vibrio species: Minimization of stochastic complexity and cumulative classificationen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate3000-01-01en_UK
dc.rights.embargoreason[austin_BIOLOGGN_2002.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1078/0723-2020-00109en_UK
dc.citation.jtitleSystematic and Applied Microbiologyen_UK
dc.citation.issn0723-2020en_UK
dc.citation.volume25en_UK
dc.citation.issue3en_UK
dc.citation.spage403en_UK
dc.citation.epage415en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailbrian.austin@stir.ac.uken_UK
dc.contributor.affiliationUniversity of Turkuen_UK
dc.contributor.affiliationLinkoping Universityen_UK
dc.contributor.affiliationGhent Universityen_UK
dc.contributor.affiliationUniversity of Turkuen_UK
dc.contributor.affiliationGhent Universityen_UK
dc.contributor.affiliationHeriot-Watt Universityen_UK
dc.contributor.affiliationGhent Universityen_UK
dc.identifier.isiWOS:000178865500010en_UK
dc.identifier.wtid787817en_UK
dcterms.dateAccepted2002-10-31en_UK
dc.date.filedepositdate2012-08-06en_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorGyllenberg, Mats|en_UK
local.rioxx.authorKoski, Timo|en_UK
local.rioxx.authorDawyndt, Peter|en_UK
local.rioxx.authorLund, Tatu|en_UK
local.rioxx.authorThompson, Fabiano L|en_UK
local.rioxx.authorAustin, Brian|en_UK
local.rioxx.authorSwings, Jean|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate3000-01-01en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenameaustin_BIOLOGGN_2002.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0723-2020en_UK
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