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Clustering Sets of Objects Using Concepts-Objects Bipartite Graphs
Emmanuel Navarro, Henri Prade, Bruno Gaume

Clustering Sets of Objects Using Concepts-Objects Bipartite Graphs

Science & Mathematics Published 2012 Verification Pending

Overview & Synopsis

In this paper we deal with data stated under the form of abinary relation between objects and properties. We propose an approachfor clustering the objects and labeling them with characteristic subsetsof properties. The approach is based on a parallel between formal con-cept analysis and graph clustering. The problem is made tricky due tothe fact that generally there is no partitioning of the objects that can beassociated with a partitioning of properties. Indeed a relevant partitionof objects may exist, whereas it is not the case for properties. In order toobtain a conceptual clustering of the objects, we work with a bipartitegraph relating objects with formal concepts. Experiments on artificialbenchmarks and real examples show the effectiveness of the method,more particularly the fact that the results remain stable when an in-creasing number of properties are shared between objects of differentclusters.

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Document Information

Document Title Clustering Sets of Objects Using Concepts-Objects Bipartite Graphs
Author / Organization Emmanuel Navarro, Henri Prade, Bruno Gaume
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2012
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-137197
Original Source Link Visit Source Page on hal.science »