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Erschienen in:
2006 | OriginalPaper | Buchkapitel
A New Clustering Approach for Symbolic Data and Its Validation: Application to the Healthcare Data
verfasst von : Haytham Elghazel, Véronique Deslandres, Mohand-Said Hacid, Alain Dussauchoy, Hamamache Kheddouci
Erschienen in: Foundations of Intelligent Systems
Verlag: Springer Berlin Heidelberg
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Graph coloring is used to characterize some properties of graphs. A
b-coloring
of a graph
G
(using colors 1,2,...,k) is a coloring of the vertices of
G
such that (i) two neighbors have different colors (proper coloring) and (ii) for each color class there exists a dominating vertex which is adjacent to all other
k-1
color classes. In this paper, based on a
b-coloring
of a graph, we propose a new clustering technique. Additionally, we provide a cluster validation algorithm. This algorithm aims at finding the optimal number of clusters by evaluating the property of
color dominating vertex
. We adopt this clustering technique for discovering a new typology of hospital stays in the French healthcare system.