Linking Data According to Their Degree of Representativeness (DoR)
Journal Title: EAI Endorsed Transactions on Industrial Networks and Intelligent Systems - Year 2015, Vol 2, Issue 4
Abstract
This contribution addresses the problem of extracting some representative data from complex datasets and connecting them in a directed graph. First we define a degree of representativeness (DoR) inspired of the Borda voting procedure. Secondly we present a method to connect pairwise data using neighborhoods and the DoR as an objective function. We then present case studies as illustrative purposes: unsupervised grouping of binary images, analysis of co-authorships in a research team and structuration of a medical patient-oriented database.
Authors and Affiliations
Frédéric Blanchard, Amine Aït-Younes, Michel Herbin
Keywords
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- EP ID EP46028
- DOI http://dx.doi.org/10.4108/inis.2.4.e2
- Views 273
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