Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
Journal of Computational and Applied Mathematics
Artificial Intelligence
Constrained K-means Clustering with Background Knowledge
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Voting-Merging: An Ensemble Method for Clustering
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Data Clustering Using Evidence Accumulation
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Cluster ensembles --- a knowledge reuse framework for combining multiple partitions
The Journal of Machine Learning Research
Clustering interval-valued proximity data using belief functions
Pattern Recognition Letters
Ensemble Clustering in Medical Diagnostics
CBMS '04 Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems
Solving cluster ensemble problems by bipartite graph partitioning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Combining Multiple Clusterings Using Evidence Accumulation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Clustering Ensembles: Models of Consensus and Weak Partitions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Resampling Method for Unsupervised Estimation of Cluster Validity
Neural Computation
Moderate diversity for better cluster ensembles
Information Fusion
ECM: An evidential version of the fuzzy c-means algorithm
Pattern Recognition
International Journal of Intelligent Systems - Decision Sciences: Foundations and Applications
Belief Functions and Cluster Ensembles
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of the number of clusters using heterogeneous multiple classifier system
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Semi-supervised clustering ensemble based on multi-ant colonies algorithm
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
A new belief-based K-nearest neighbor classification method
Pattern Recognition
Belief functions on distributive lattices
Artificial Intelligence
International Journal of Approximate Reasoning
Joint cumulative distribution functions for Dempster---Shafer belief structures using copulas
Fuzzy Optimization and Decision Making
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In this paper, belief functions, defined on the lattice of intervals partitions of a set of objects, are investigated as a suitable framework for combining multiple clusterings. We first show how to represent clustering results as masses of evidence allocated to sets of partitions. Then a consensus belief function is obtained using a suitable combination rule. Tools for synthesizing the results are also proposed. The approach is illustrated using synthetic and real data sets.