Bootstrap technique in cluster analysis
Pattern Recognition
Algorithms for clustering data
Algorithms for clustering data
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Elements of information theory
Elements of information theory
Probabilistic validation approach for clustering
Pattern Recognition Letters
CURE: an efficient clustering algorithm for large databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Large-Scale Parallel Data Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithms for straight line fitting using k-means
Pattern Recognition Letters
Location- and Density-Based Hierarchical Clustering Using Similarity Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Approaches to Gaussian Mixture Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
A monothetic clustering method
Pattern Recognition Letters
A Robust Competitive Clustering Algorithm With Applications in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-line hierarchical clustering
Pattern Recognition Letters
The use of linked line segments for cluster representation and data reduction
Pattern Recognition Letters
On finding the number of clusters
Pattern Recognition Letters
ACM Computing Surveys (CSUR)
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Theoretic Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection and Separation of Ring-Shaped Clusters Using Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evidence Accumulation Clustering Based on the K-Means Algorithm
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
MDL-Based Selection of the Number of Components in Mixture Models for Pattern Classification
SSPR '98/SPR '98 Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Cluster ensembles --- a knowledge reuse framework for combining multiple partitions
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Conceptual clustering in information retrieval
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On cluster validity for the fuzzy c-means model
IEEE Transactions on Fuzzy Systems
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization
IEEE Transactions on Pattern Analysis and Machine Intelligence
BordaConsensus: a new consensus function for soft cluster ensembles
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Cumulative Voting Consensus Method for Partitions with Variable Number of Clusters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiorder neurons for evolutionary higher-order clustering and growth
Neural Computation
Environmental Modelling & Software
Consensus unsupervised feature ranking from multiple views
Pattern Recognition Letters
Definition of MV load diagrams via weighted evidence accumulation clustering using subsampling
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Definition of MV load diagrams via weighted evidence accumulation clustering using subsampling
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Journal on Image and Video Processing - Color in Image and Video Processing
To combine steady-state genetic algorithm and ensemble learning for data clustering
Pattern Recognition Letters
Multisource images analysis using collaborative clustering
EURASIP Journal on Advances in Signal Processing
Unsupervised data pruning for clustering of noisy data
Knowledge-Based Systems
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Identification of association rules between clusters
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
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
Resampling-based selective clustering ensembles
Pattern Recognition Letters
Ensemble Combination for Solving the Parameter Selection Problem in Image Segmentation
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
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
A survey of Web clustering engines
ACM Computing Surveys (CSUR)
RECM: Relational evidential c-means algorithm
Pattern Recognition Letters
Exploiting context analysis for combining multiple entity resolution systems
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Automated support for managing feature requests in open forums
Communications of the ACM - A View of Parallel Computing
Improving Pseudobagging techniques
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
When Semi-supervised Learning Meets Ensemble Learning
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
An Evidence Accumulation Approach to Constrained Clustering Combination
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
From comparing clusterings to combining clusterings
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Computation of initial modes for K-modes clustering algorithm using evidence accumulation
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A survey of evolutionary algorithms for clustering
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Collaborative clustering with background knowledge
Data & Knowledge Engineering
Clustering Ensemble Method for Heterogeneous Partitions
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Comparing hard and fuzzy c-means for evidence-accumulation clustering
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
On voting-based consensus of cluster ensembles
Pattern Recognition
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
Text clustering on latent thematic spaces: variants, strengths and weaknesses
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Weighted partition consensus via kernels
Pattern Recognition
Clustering ensemble for unsupervised feature selection
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
A multiobjective immune clustering ensemble technique applied to unsupervised SAR image segmentation
Proceedings of the ACM International Conference on Image and Video Retrieval
Video segmentation based on motion coherence of particles in a video sequence
IEEE Transactions on Image Processing
A label field fusion Bayesian model and its penalized maximum rand estimator for image segmentation
IEEE Transactions on Image Processing
Learning multiple nonredundant clusterings
ACM Transactions on Knowledge Discovery from Data (TKDD)
Data Mining and Knowledge Discovery
Clustering ensembles and space discretization - A new regard toward diversity and consensus
Pattern Recognition Letters
Multiple clustering solutions analysis through least-squares consensus algorithms
CIBB'09 Proceedings of the 6th international conference on Computational intelligence methods for bioinformatics and biostatistics
Robust clustering using discriminant analysis
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
On consensus clustering validation
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Pairwise probabilistic clustering using evidence accumulation
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Exploring the performance limit of cluster ensemble techniques
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Clustering complex data with group-dependent feature selection
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Ensemble clustering in the belief functions framework
International Journal of Approximate Reasoning
Combining multiple clusterings using similarity graph
Pattern Recognition
Speaker diarization exploiting the eigengap criterion and cluster ensembles
IEEE Transactions on Audio, Speech, and Language Processing
Optimized ensembles for clustering noisy data
LION'10 Proceedings of the 4th international conference on Learning and intelligent optimization
Nearest-neighbor guided evaluation of data reliability and its applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Evolutionary clustering of relational data
International Journal of Hybrid Intelligent Systems - Advances in Intelligent Agent Systems
Dampster-Shafer evidence theory based multi-characteristics fusion for clustering evaluation
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Partition selection approach for hierarchical clustering based on clustering ensemble
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Soft spectral clustering ensemble applied to image segmentation
Frontiers of Computer Science in China
Pattern Recognition Letters
Fuzzy C-means based clustering for linearly and nonlinearly separable data
Pattern Recognition
Image segmentation fusion using general ensemble clustering methods
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
CPRS: A cloud-based program recommendation system for digital TV platforms
Future Generation Computer Systems
Hybrid ensemble approach for classification
Applied Intelligence
A review: accuracy optimization in clustering ensembles using genetic algorithms
Artificial Intelligence Review
sub-space clustering and evidence accumulation for unsupervised network anomaly detection
TMA'11 Proceedings of the Third international conference on Traffic monitoring and analysis
Learning low-rank kernel matrices for constrained clustering
Neurocomputing
Bagging-based spectral clustering ensemble selection
Pattern Recognition Letters
Beyond classical consensus clustering: The least squares approach to multiple solutions
Pattern Recognition Letters
UNADA: unsupervised network anomaly detection using sub-space outliers ranking
NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part I
Evolutionary fuzzy clustering of relational data
Theoretical Computer Science
Improved gene expression clustering with the parameter-free PKNNG metric
BSB'11 Proceedings of the 6th Brazilian conference on Advances in bioinformatics and computational biology
MINETRAC: mining flows for unsupervised analysis & semi-supervised classification
Proceedings of the 23rd International Teletraffic Congress
A generative dyadic aspect model for evidence accumulation clustering
SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition
A study of embedding methods under the evidence accumulation framework
SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition
CLICOM: Cliques for combining multiple clusterings
Expert Systems with Applications: An International Journal
Combining multiple clusterings using fast simulated annealing
Pattern Recognition Letters
A metric to evaluate a cluster by eliminating effect of complement cluster
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Weighted association based methods for the combination of heterogeneous partitions
Pattern Recognition Letters
Integration analysis of diverse genomic data using multi-clustering results
ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
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)
Joint cluster based co-clustering for clustering ensembles
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Positional and confidence voting-based consensus functions for fuzzy cluster ensembles
Fuzzy Sets and Systems
Generalized Adjusted Rand Indices for cluster ensembles
Pattern Recognition
Proceedings of the 7th International Conference on Network and Services Management
Unsupervised Network Intrusion Detection Systems: Detecting the Unknown without Knowledge
Computer Communications
Clustering similarity comparison using density profiles
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
A new asymmetric criterion for cluster validation
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Grouping genetic algorithm for data clustering
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
A graph enrichment based clustering over vertically partitioned data
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
From cluster ensemble to structure ensemble
Information Sciences: an International Journal
A New Unsupervised Feature Ranking Method for Gene Expression Data Based on Consensus Affinity
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A max metric to evaluate a cluster
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Retrieval of hand-sketched envelopes in logo images
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
A clustering ensemble based on a modified normalized mutual information metric
AMT'12 Proceedings of the 8th international conference on Active Media Technology
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
An indication of unification for different clustering approaches
Pattern Recognition
Statistical shape model for manifold regularization: Gleason grading of prostate histology
Computer Vision and Image Understanding
Data weighing mechanisms for clustering ensembles
Computers and Electrical Engineering
A clustering ensemble framework based on elite selection of weighted clusters
Advances in Data Analysis and Classification
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
How Many Clusters: A Validation Index for Arbitrary-Shaped Clusters
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Correlation clustering with stochastic labellings
SIMBAD'13 Proceedings of the Second international conference on Similarity-Based Pattern Recognition
An efficient and scalable family of algorithms for combining clusterings
Engineering Applications of Artificial Intelligence
A theoretic framework of K-means-based consensus clustering
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
A probabilistic approach to latent cluster analysis
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Ensemble clustering by means of clustering embedding in vector spaces
Pattern Recognition
Pairwise similarity for cluster ensemble problem: link-based and approximate approaches
Transactions on Large-Scale Data- and Knowledge-centered systems IX
Weighted ensemble of algorithms for complex data clustering
Pattern Recognition Letters
HMM-based hybrid meta-clustering ensemble for temporal data
Knowledge-Based Systems
Effects of resampling method and adaptation on clustering ensemble efficacy
Artificial Intelligence Review
Ensembles for unsupervised outlier detection: challenges and research questions a position paper
ACM SIGKDD Explorations Newsletter
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We explore the idea of evidence accumulation (EAC) for combining the results of multiple clusterings. First, a clustering ensemble驴a set of object partitions, is produced. Given a data set (n objects or patterns in d dimensions), different ways of producing data partitions are: 1) applying different clustering algorithms and 2) applying the same clustering algorithm with different values of parameters or initializations. Further, combinations of different data representations (feature spaces) and clustering algorithms can also provide a multitude of significantly different data partitionings. We propose a simple framework for extracting a consistent clustering, given the various partitions in a clustering ensemble. According to the EAC concept, each partition is viewed as an independent evidence of data organization, individual data partitions being combined, based on a voting mechanism, to generate a new n \times n similarity matrix between the n patterns. The final data partition of the n patterns is obtained by applying a hierarchical agglomerative clustering algorithm on this matrix. We have developed a theoretical framework for the analysis of the proposed clustering combination strategy and its evaluation, based on the concept of mutual information between data partitions. Stability of the results is evaluated using bootstrapping techniques. A detailed discussion of an evidence accumulation-based clustering algorithm, using a split and merge strategy based on the K-means clustering algorithm, is presented. Experimental results of the proposed method on several synthetic and real data sets are compared with other combination strategies, and with individual clustering results produced by well-known clustering algorithms.