83 citations · 97 across the 3 of their papers we have counts for
3 papers
cs.AI2015★ 6 cited
Belief Hierarchical Clustering
Wiem Maalel, Kuang Zhou, Arnaud Martin +1
In the data mining field many clustering methods have been proposed, yet standard versions do not take into account uncertain databases. This paper deals with a new approach to clu…
cs.SI2015★ 8 cited
Evidential Communities for Complex Networks
Kuang Zhou, Arnaud Martin, Quan Pan
Community detection is of great importance for understand-ing graph structure in social networks. The communities in real-world networks are often overlapped, i.e. some nodes may b…
cs.AI2015★ 83 cited
Median evidential c-means algorithm and its application to community detection
Kuang Zhou, Arnaud Martin, Quan Pan +1
Median clustering is of great value for partitioning relational data. In this paper, a new prototype-based clustering method, called Median Evidential C-Means (MECM), which is an e…