Linking Data According to Their Degree of Representativeness (DoR)

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 248
  • Downloads 0

How To Cite

Frédéric Blanchard, Amine Aït-Younes, Michel Herbin (2015). Linking Data According to Their Degree of Representativeness (DoR). EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2(4), -. https://europub.co.uk/articles/-A-46028