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dc.contributor.authorTino, P.
dc.contributor.authorSun, Yi.
dc.contributor.authorNabney, I.
dc.contributor.editorArabnia, H.R.
dc.contributor.editorMun, Y.
dc.date.accessioned2007-10-03T14:38:43Z
dc.date.available2007-10-03T14:38:43Z
dc.date.issued2002
dc.identifier.citationTino , P , Sun , Y & Nabney , I 2002 , Semi-supervised construction of general visualization hierarchies . in H R Arabnia & Y Mun (eds) , In: Proceedings of the 2002 International Conference on Artificial Intelligence - (IC-AI'02) . CSREA Press , pp. 1380-1386 .
dc.identifier.otherPURE: 378669
dc.identifier.otherPURE UUID: f298bce8-c7d4-434b-8240-534bf607bd42
dc.identifier.otherdspace: 2299/835
dc.identifier.urihttp://hdl.handle.net/2299/835
dc.description.abstractWe have recently developed a principled approach to interactive non-linear hierarchical visualization [8] based on the Generative Topographic Mapping (GTM). Hierarchical plots are needed when a single visualization plot is not sufficient (e.g. when dealing with large quantities of data). In this paper we extend our system by giving the user a choice of initializing the child plots of the current plot in either interactive, or automatic mode. In the interactive mode the user interactively selects “regions of interest” as in [8], whereas in the automatic mode an unsupervised minimum message length (MML)-driven construction of a mixture of GTMs is used. The latter is particularly useful when the plots are covered with dense clusters of highly overlapping data projections, making it difficult to use the interactive mode. Such a situation often arises when visualizing large data sets. We illustrate our approach on a data set of 2300 18- dimensional points and mention extension of our system to accommodate discrete data types.en
dc.language.isoeng
dc.publisherCSREA Press
dc.relation.ispartofIn: Proceedings of the 2002 International Conference on Artificial Intelligence - (IC-AI'02)
dc.titleSemi-supervised construction of general visualization hierarchiesen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.relation.school
dcterms.dateAccepted2002
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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