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dc.contributor.authorOlier, Ivan
dc.contributor.authorVellido Alcacena, Alfredo
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2016-04-15T09:19:01Z
dc.date.available2016-04-15T09:19:01Z
dc.date.issued2005-11
dc.identifier.citationOlier, I., Vellido, A. "Capturing the dynamics of multivariate time series through visualization using generative topographic mapping through time". 2005.
dc.identifier.urihttp://hdl.handle.net/2117/85725
dc.description.abstractMost of the existing research on time series concerns supervised forecasting problems. In comparison, little research has been devoted to unsupervised methods for the visual exploration of multivariate time series. In this paper, the capabilities of the Generative Topographic Mapping Through Time, a model with solid foundations in probability theory that performs simultaneous time series data clustering and visualization, are assessed in detail in several experiments. The focus is placed on the detection of atypical data, the visualization of the evolution of signal regimes, and the exploration of sudden transitions, for which a novel identification index is defined.
dc.format.extent7 p.
dc.language.isoeng
dc.relation.ispartofseriesLSI-05-52-R
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.otherGenerative topographic mapping
dc.subject.otherTopology-constrained hidden Markov models
dc.subject.otherMultivariate time series analysis
dc.subject.otherData visualization
dc.subject.otherClustering
dc.titleCapturing the dynamics of multivariate time series through visualization using generative topographic mapping through time
dc.typeExternal research report
dc.contributor.groupUniversitat Politècnica de Catalunya. SOCO - Soft Computing
dc.rights.accessOpen Access
local.identifier.drac1841841
dc.description.versionPostprint (published version)
local.citation.authorOlier, I.; Vellido, A.


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