Comparing Subspace Clusterings
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Moderate diversity for better cluster ensembles
Information Fusion
Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Boosting for Model-Based Data Clustering
Proceedings of the 30th DAGM symposium on Pattern Recognition
Robust Clustering by Aggregation and Intersection Methods
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
Resampling-based selective clustering ensembles
Pattern Recognition Letters
A new method for hierarchical clustering combination
Intelligent Data Analysis
Interactive Visualization Tools for Meta-Clustering
Proceedings of the 2009 conference on New Directions in Neural Networks: 18th Italian Workshop on Neural Networks: WIRN 2008
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
Multiple data structure discovery through global optimisation, meta clustering and consensus methods
International Journal of Knowledge Engineering and Soft Data Paradigms
Semi-supervised Classification Based on Clustering Ensembles
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Global optimization, meta clustering and consensus clustering for class prediction
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Hierarchical clustering ensemble algorithm based association rules
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Selecting diversifying heuristics for cluster ensembles
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
A novel hierarchical-clustering-combination scheme based on fuzzy-similarity relations
IEEE Transactions on Fuzzy Systems
A new efficient approach in clustering ensembles
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Expert Systems with Applications: An International Journal
Robust clustering using discriminant analysis
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Optimized ensembles for clustering noisy data
LION'10 Proceedings of the 4th international conference on Learning and intelligent optimization
Journal of Intelligent Manufacturing
A review: accuracy optimization in clustering ensembles using genetic algorithms
Artificial Intelligence Review
Bagging-based spectral clustering ensemble selection
Pattern Recognition Letters
Cloosting: clustering data with boosting
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Integration analysis of diverse genomic data using multi-clustering results
ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
Heterogeneous clustering ensemble method for combining different cluster results
BioDM'06 Proceedings of the 2006 international conference on Data Mining for Biomedical Applications
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
Joint cluster based co-clustering for clustering ensembles
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
A quantitative categorization of phonemic dialect features in context
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
From cluster ensemble to structure ensemble
Information Sciences: an International Journal
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
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
A hierarchical clusterer ensemble method based on boosting theory
Knowledge-Based Systems
Data weighing mechanisms for clustering ensembles
Computers and Electrical Engineering
BiETopti-BiClustering ensemble using optimization techniques
ICDM'13 Proceedings of the 13th international conference on Advances in Data Mining: applications and theoretical aspects
Effects of resampling method and adaptation on clustering ensemble efficacy
Artificial Intelligence Review
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Clustering ensembles combine multiple partitions of the given data into a single clustering solution of better quality. Inspired by the success of supervised boosting algorithms, we devise an adaptive scheme for integration of multiple non-independent clusterings. Individual partitions in the ensemble are sequentially generated by clustering specially selected subsamples of the given data set. The sampling probability for each data point dynamically depends on the consistency of its previous assignments in the ensemble. New subsamples are drawn to increasingly focus on the problematic regions of the input feature space. A measure of a data point's clustering consistency is defined to guide this adaptation. An empirical study compares the performance of adaptive and regular clustering ensembles using different consensus functions on a number of data sets. Experimental results demonstrate improved accuracy for some clustering structures.