212 citations · 850 across the 18 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 54 cited
EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering
Lianmeng Jiao, Thierry Denoeux, Zhun-ga Liu +1
The Gaussian mixture model (GMM) provides a simple yet principled framework for clustering, with properties suitable for statistical inference. In this paper, we propose a new mode…
cs.LG2020★ 39 cited
NN-EVCLUS: Neural Network-based Evidential Clustering
Thierry Denoeux
Evidential clustering is an approach to clustering based on the use of Dempster-Shafer mass functions to represent cluster-membership uncertainty. In this paper, we introduce a neu…
cs.AI2020★ 43 cited
Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence
Thierry Denoeux
We revisit Zadeh's notion of "evidence of the second kind" and show that it provides the foundation for a general theory of epistemic random fuzzy sets, which generalizes both the…