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Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Finding Natural Clusters Using Multi-clusterer Combiner Based on Shared Nearest Neighbors
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Multiclassifier Systems: Back to the Future
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Finding Consistent Clusters in Data Partitions
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A Resampling Approach to Cluster Validation
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Algorithms for clustering data
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Moderate diversity for better cluster ensembles
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ROC curves and video analysis optimization in intestinal capsule endoscopy
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Pattern Recognition and Neural Networks
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Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data
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Algorithms for Clustering Data
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Objective Criteria for the Evaluation of Clustering Methods
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Bagging to improve the accuracy of a clustering procedure
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Ensemble clustering in medical diagnostics
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Combining multiple weak clusterings
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Data clustering using evidence accumulation
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Using diversity in cluster ensembles
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Ensembles of partitions via data resampling
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Performance evaluation of some clustering algorithms and validity indices
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Bagging for path-based clustering
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Combining multiple clusterings using evidence accumulation
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Estimating the Number of Clusters in a Data Set Via the Gap Statistic
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A Mixture Model for Clustering Ensembles
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Resampling Method for Unsupervised Estimation of Cluster Validity
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Stability-Based Validation of Clustering Solutions
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10.1162/153244302760200704
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Pattern Classification and Scene Analysis.
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Stability of Randomized Learning Algorithms
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Tumor clustering based on hybrid cluster ensemble framework
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NG2CE: Double neural gas based cluster ensemble framework
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Coupled clustering ensemble: Incorporating coupling relationships both between base clusterings and objects
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Interpreting the pattern of volcano eruptions: Intelligent system for tephra layer correlation
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A Fast Face Segmentation Based on Color Spatial Features and K-means Clustering Ensembles
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An improved link analysis based clustering ensemble method
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An improved local adaptive clustering ensemble based on link analysis
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ARImp: A Generalized Adjusted Rand Index for Cluster Ensembles
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Ideological and Political Education Management Research Based on Improved K-means Clustering
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A Kind of Ideological and Political Education Management Platform Design Based on Web Technology
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Improved link-based cluster ensembles for microarray data analysis
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Clustering Ensemble Based on a New Consensus Function with Hamming Distance
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A cluster ensemble method for robust unsupervised classification of VHR remote sensing images
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A kernel-based feature extraction method for hyperspectral image classification
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Ensemble based 3D human motion classification
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Fuzzy cluster ensemble and its application on 3D head model classification
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Knowledge based Cluster Ensemble
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Improved link-based cluster ensembles
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Semi-supervised clustering with pairwise and size constraints
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Hybrid Clustering Solutions Fusion based on Gated Three-way Decision
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Agglomerative Fuzzy Clustering based on Bayesian Interpretation
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A Constrained Cluster Ensemble Using Hierarchical Clustering Methods
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A multidimensional data visualization and clustering method: Consensus similarity mapping
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Cluster analysis of breast cancer data using Genetic Algorithm and Spiking Neural Networks
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Extending external validity measures for determining the number of clusters
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Dynamic Economic Dispatch of Micro-Grid Based on Scenario Analysis
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Classification Rules Obtained from Evidence Accumulation
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An ensemble model of self-organizing maps for imputation of missing values
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Certificate-aware encrypted traffic classification using Second-Order Markov Chain
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A Kernel-Based Feature Selection Method for SVM With RBF Kernel for Hyperspectral Image Classification
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Creating Active and Reactive Power Reserve Zones for Large-Scale Electric Grids
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Data Mining in Cancer Research [Application Notes
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Mobile robot odometry relying on data fusion from RF and ultrasound measurements in a wireless sensor framework
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Reserve zone determination based on statistical clustering methods
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CDOD-NET: A Crop Disease Object Detection Model Based on Haar Wavelet Network
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Hierarchical Trust-Tech-Enhanced K-Means Methods and Their Applications to Power Grids
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A two-pass unsupervised clustering algorithm for polarimetric SAR image segmentation
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Ejecting Outliers to Enhance Robustness of Fuzzy Cluster Ensemble
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An Automatic Recommendation Scheme of TV Program Contents for (IP)TV Personalization
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SC³: Triple Spectral Clustering-Based Consensus Clustering Framework for Class Discovery from Cancer Gene Expression Profiles
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A New Unsupervised Feature Ranking Method for Gene Expression Data Based on Consensus Affinity
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Hybrid Fuzzy Cluster Ensemble Framework for Tumor Clustering from Biomolecular Data
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Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data
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Distribution-Based Cluster Structure Selection
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Clustering Ensemble Based on Hybrid Multiview Clustering
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Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification
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LDA-Based Clustering Algorithm and Its Application to an Unsupervised Feature Extraction
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A Two-Phase Fuzzy Clustering Algorithm Based on Neurodynamic Optimization With Its Application for PolSAR Image Segmentation
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An ensemble clusterer of multiple fuzzy k-means clusterings to recognize arbitrarily shaped clusters
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A Theoretical Energy Loss Calculation Method for Transformer District Based on Improved Convolutional Neural Networks
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A Data-Driven Framework for Quantifying Demand Response Participation Benefit of Industrial Consumers
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Classification of Encrypted Traffic With Second-Order Markov Chains and Application Attribute Bigrams
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A User Threat-Driven Multi-Objective Adaptive VM Allocation Framework for Cloud Security
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Confirmation Bias in Gaussian Mixture Models
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A Link-Based Cluster Ensemble Approach for Categorical Data Clustering
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