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dc.contributor.authorRitter, H.
dc.contributor.authorHermann, T.
dc.date.accessioned2014-03-17T19:52:27Z
dc.date.available2014-03-17T19:52:27Z
dc.date.issued2002-07en_US
dc.identifier.urihttp://hdl.handle.net/1853/51347
dc.descriptionPresented at the 8th International Conference on Auditory Display (ICAD), Kyoto, Japan, July 2-5, 2002.en_US
dc.description.abstractThis paper introduces Crystallization Sonification, a sonification model for exploratory analysis of high-dimensional datasets. The model is designed to provide information about the intrinsic data dimensionality (which is a local feature) and the global data dimensionality, as well as the transitions between a local and global view on a dataset. Furthermore the sound allows to display the clustering in high-dimensional datasets. The model defines a crystal growth process in the high-dimensional data-space which starts at a user selected ``condensation nucleus'' and incrementally includes neighboring data according to some growth criterion. The sound summarizes the temporal evolution of this crystal growth process. For introducing the model, a simple growth law is used. Other growth laws which are used in the context of hierarchical clustering are also suited and their application in crystallization sonification offers new ways to inspect the results of data clustering as an alternative to dendrogram plots. In this paper, the sonification model is described and example sonifications are presented for some synthetic high-dimensional datasets.en_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectAuditory displayen_US
dc.subjectCrystallizationen_US
dc.subjectSonificationen_US
dc.subjectHigh-dimensional dataseten_US
dc.titleCrystallization sonification of high-dimensional datasetsen_US
dc.typeProceedingsen_US
dc.contributor.corporatenameBielefeld University. Faculty of Technologyen_US
dc.publisher.originalInternational Community on Auditory Displayen_US
dc.embargo.termsnullen_US


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