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  2. Life Sciences und Facility Management
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  4. Publikationen Life Sciences und Facility Management
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dc.contributor.authorGlüge, Stefan-
dc.contributor.authorPomati, Francesco-
dc.contributor.authorAlbert, Carlo-
dc.contributor.authorKauf, Peter-
dc.contributor.authorOtt, Thomas-
dc.date.accessioned2018-03-29T07:10:26Z-
dc.date.available2018-03-29T07:10:26Z-
dc.date.issued2014-
dc.identifier.isbn978-3-319-08671-2de_CH
dc.identifier.issn1865-0929de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/4482-
dc.description.abstractClusteringFlow cytometry (FC) devices count and measure cells in fluids in an automated procedure. In this paper we present our work in progress on the clustering of FC data. We compare standard clustering algorithms such as K-means, Ward’s clustering, etc., to the more advanced approach of sequential superparamagnetic clustering (SSC). We found Ward’s hierarchical clustering to perform best regarding internal cluster validation measures, while SSC yielded the best results based on the visual inspection of the clustering results.de_CH
dc.language.isodede_CH
dc.publisherSpringerde_CH
dc.relation.ispartofseriesCommunications in Computer and Information Sciencede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectPhytoplanktonde_CH
dc.subjectFlow Cytometryde_CH
dc.subjectClusteringde_CH
dc.subjectSequential Superparamagnetic Clusteringde_CH
dc.subject.ddc004: Informatikde_CH
dc.titleThe challenge of clustering flow cytometry data from phytoplankton in Lakesde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
zhaw.publisher.placeChamde_CH
dc.identifier.doi10.1007/978-3-319-08672-9_45de_CH
zhaw.conference.detailsNDES 2014, 22nd Nonlinear Dynamics of Electronic Systems Conference, Albena, Bulgaria, 4-6 July 2014de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end386de_CH
zhaw.pages.start379de_CH
zhaw.parentwork.editorMladenov, V.M.-
zhaw.parentwork.editorIvanov, P.C.-
zhaw.publication.statuspublishedVersionde_CH
zhaw.series.number438de_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.title.proceedingsNonlinear Dynamics of Electronic Systems 22nd International Conference, NDES 2014, Albena, Bulgaria, July 4-6, 2014. Proceedingsde_CH
zhaw.webfeedBio-Inspired Methods & Neuromorphic Computingde_CH
zhaw.webfeedPredictive Analyticsde_CH
zhaw.webfeedData Management & Visualisationde_CH
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Glüge, S., Pomati, F., Albert, C., Kauf, P., & Ott, T. (2014). The challenge of clustering flow cytometry data from phytoplankton in Lakes [Conference paper]. In V. M. Mladenov & P. C. Ivanov (eds.), Nonlinear Dynamics of Electronic Systems 22nd International Conference, NDES 2014, Albena, Bulgaria, July 4-6, 2014. Proceedings (pp. 379–386). Springer. https://doi.org/10.1007/978-3-319-08672-9_45
Glüge, S. et al. (2014) ‘The challenge of clustering flow cytometry data from phytoplankton in Lakes’, in V.M. Mladenov and P.C. Ivanov (eds) Nonlinear Dynamics of Electronic Systems 22nd International Conference, NDES 2014, Albena, Bulgaria, July 4-6, 2014. Proceedings. Cham: Springer, pp. 379–386. Available at: https://doi.org/10.1007/978-3-319-08672-9_45.
S. Glüge, F. Pomati, C. Albert, P. Kauf, and T. Ott, “The challenge of clustering flow cytometry data from phytoplankton in Lakes,” in Nonlinear Dynamics of Electronic Systems 22nd International Conference, NDES 2014, Albena, Bulgaria, July 4-6, 2014. Proceedings, 2014, pp. 379–386. doi: 10.1007/978-3-319-08672-9_45.
GLÜGE, Stefan, Francesco POMATI, Carlo ALBERT, Peter KAUF und Thomas OTT, 2014. The challenge of clustering flow cytometry data from phytoplankton in Lakes. In: V.M. MLADENOV und P.C. IVANOV (Hrsg.), Nonlinear Dynamics of Electronic Systems 22nd International Conference, NDES 2014, Albena, Bulgaria, July 4-6, 2014. Proceedings. Conference paper. Cham: Springer. 2014. S. 379–386. ISBN 978-3-319-08671-2
Glüge, Stefan, Francesco Pomati, Carlo Albert, Peter Kauf, and Thomas Ott. 2014. “The challenge of clustering flow cytometry data from phytoplankton in Lakes.” Conference paper. In Nonlinear Dynamics of Electronic Systems 22nd International Conference, NDES 2014, Albena, Bulgaria, July 4-6, 2014. Proceedings, edited by V.M. Mladenov and P.C. Ivanov, 379–86. Cham: Springer. https://doi.org/10.1007/978-3-319-08672-9_45.
Glüge, Stefan, et al. “The challenge of clustering flow cytometry data from phytoplankton in Lakes.” Nonlinear Dynamics of Electronic Systems 22nd International Conference, NDES 2014, Albena, Bulgaria, July 4-6, 2014. Proceedings, edited by V.M. Mladenov and P.C. Ivanov, Springer, 2014, pp. 379–86, https://doi.org/10.1007/978-3-319-08672-9_45.


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