Elements of information theory
Elements of information theory
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
SIAM Journal on Scientific Computing
Document clustering using word clusters via the information bottleneck method
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Co-clustering documents and words using bipartite spectral graph partitioning
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Cluster ensembles --- a knowledge reuse framework for combining multiple partitions
The Journal of Machine Learning Research
Combining Multiple Weak Clusterings
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Information-theoretic co-clustering
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Combining Multiple Clusterings by Soft Correspondence
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Locally adaptive metrics for clustering high dimensional data
Data Mining and Knowledge Discovery
Multi-objective clustering ensemble
International Journal of Hybrid Intelligent Systems - Hybridization of Intelligent Systems
Meta methods for model sharing in personal information systems
ACM Transactions on Information Systems (TOIS)
Ensemble clustering with voting active clusters
Pattern Recognition Letters
A consensus based approach to constrained clustering of software requirements
Proceedings of the 17th ACM conference on Information and knowledge management
Weighted cluster ensembles: Methods and analysis
ACM Transactions on Knowledge Discovery from Data (TKDD)
Refining Pairwise Similarity Matrix for Cluster Ensemble Problem with Cluster Relations
DS '08 Proceedings of the 11th International Conference on Discovery Science
A new method for hierarchical clustering combination
Intelligent Data Analysis
Clustering aggregation by probability accumulation
Pattern Recognition
A scalable framework for cluster ensembles
Pattern Recognition
Improving clustering stability with combinatorial MRFs
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Heterogeneous source consensus learning via decision propagation and negotiation
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
A Multiple Expert Approach to the Class Imbalance Problem Using Inverse Random under Sampling
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Clustering Ensembles Using Ants Algorithm
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
Fragment-based clustering ensembles
Proceedings of the 18th ACM conference on Information and knowledge management
Adaptive cluster ensemble selection
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Generalized cluster aggregation
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Comparing hard and fuzzy c-means for evidence-accumulation clustering
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Selecting diversifying heuristics for cluster ensembles
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Clustering ensembles based on normalized edges
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
A novel hierarchical-clustering-combination scheme based on fuzzy-similarity relations
IEEE Transactions on Fuzzy Systems
Multi-objective clustering ensemble with prior knowledge
BSB'07 Proceedings of the 2nd Brazilian conference on Advances in bioinformatics and computational biology
Consensus clustering using spectral theory
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Automatic malware categorization using cluster ensemble
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning multiple nonredundant clusterings
ACM Transactions on Knowledge Discovery from Data (TKDD)
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
Ensemble clustering in the belief functions framework
International Journal of Approximate Reasoning
The effect of cooling functions on ensemble clustering using simulated annealing
Intelligent Data Analysis
Nearest-neighbor guided evaluation of data reliability and its applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Enhanced clustering of biomedical documents using ensemble non-negative matrix factorization
Information Sciences: an International Journal
Soft spectral clustering ensemble applied to image segmentation
Frontiers of Computer Science in China
A review: accuracy optimization in clustering ensembles using genetic algorithms
Artificial Intelligence Review
Advancing data clustering via projective clustering ensembles
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Comparing clustering and metaclustering algorithms
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Improved approximation algorithms for bipartite correlation clustering
ESA'11 Proceedings of the 19th European conference on Algorithms
C3E: a framework for combining ensembles of classifiers and clusterers
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
A generative dyadic aspect model for evidence accumulation clustering
SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition
Subspace metric ensembles for semi-supervised clustering of high dimensional data
ECML'06 Proceedings of the 17th European conference on Machine Learning
A comparison of three graph partitioning based methods for consensus clustering
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
DICLENS: Divisive Clustering Ensemble with Automatic Cluster Number
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Positional and confidence voting-based consensus functions for fuzzy cluster ensembles
Fuzzy Sets and Systems
Generalized Adjusted Rand Indices for cluster ensembles
Pattern Recognition
Training regression ensembles by sequential target correction and resampling
Information Sciences: an International Journal
CGGA'10 Proceedings of the 9th international conference on Computational Geometry, Graphs and Applications
Cluster ensembles via weighted graph regularized nonnegative matrix factorization
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
Community detection via heterogeneous interaction analysis
Data Mining and Knowledge Discovery
A New Unsupervised Feature Ranking Method for Gene Expression Data Based on Consensus Affinity
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
An application of the self-organizing map to multiple view unsupervised learning
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Combining supervised and unsupervised models via unconstrained probabilistic embedding
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
A collective NMF method for detecting protein functional module from multiple data sources
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
k nearest neighbor using ensemble clustering
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
Detection of CAN by ensemble classifiers based on ripple down rules
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Projective clustering ensembles
Data Mining and Knowledge Discovery
Applying clustering and ensemble clustering approaches to phishing profiling
AusDM '09 Proceedings of the Eighth Australasian Data Mining Conference - Volume 101
Adaptive evidence accumulation clustering using the confidence of the objects' assignments
PAKDD'12 Proceedings of the 2012 Pacific-Asia conference on Emerging Trends in Knowledge Discovery and Data Mining
Flexible and robust co-regularized multi-domain graph clustering
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Data weighing mechanisms for clustering ensembles
Computers and Electrical Engineering
Cluster ensemble selection based on relative validity indexes
Data Mining and Knowledge Discovery
New cluster ensemble approach to integrative biological data analysis
International Journal of Data Mining and Bioinformatics
A self-supervised framework for clustering ensemble
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
Pairwise similarity for cluster ensemble problem: link-based and approximate approaches
Transactions on Large-Scale Data- and Knowledge-centered systems IX
Combining supervised and unsupervised models via unconstrained probabilistic embedding
Information Sciences: an International Journal
An ensemble-clustering-based distance metric and its applications
International Journal of Business Intelligence and Data Mining
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A critical problem in cluster ensemble research is how to combine multiple clusterings to yield a final superior clustering result. Leveraging advanced graph partitioning techniques, we solve this problem by reducing it to a graph partitioning problem. We introduce a new reduction method that constructs a bipartite graph from a given cluster ensemble. The resulting graph models both instances and clusters of the ensemble simultaneously as vertices in the graph. Our approach retains all of the information provided by a given ensemble, allowing the similarity among instances and the similarity among clusters to be considered collectively in forming the final clustering. Further, the resulting graph partitioning problem can be solved efficiently. We empirically evaluate the proposed approach against two commonly used graph formulations and show that it is more robust and achieves comparable or better performance in comparison to its competitors.