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Semi-Supervised Ensemble Clustering Based on Selected Constraint Projection
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Exhaustive and Efficient Constraint Propagation: A Graph-Based Learning Approach and Its Applications
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From cluster ensemble to structure ensemble
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Probabilistic cluster structure ensemble
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Active semi-supervised fuzzy clustering
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A semi-supervised fuzzy clustering algorithm applied to gene expression data
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Hybrid cluster ensemble framework based on the random combination of data transformation operators
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Semi-supervised clustering with discriminative random fields
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Bi-weighted ensemble via HMM-based approaches for temporal data clustering
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Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data
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Normalized cuts and image segmentation
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Semi-supervised cluster ensemble based on binary similarity matrix
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Convergence analysis of semi-supervised clustering ensemble
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An Approximate Spectral Clustering Ensemble for High Spatial Resolution Remote-Sensing Images
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Hybrid Fuzzy Cluster Ensemble Framework for Tumor Clustering from Biomolecular Data
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Double Selection Based Semi-Supervised Clustering Ensemble for Tumor Clustering from Gene Expression Profiles
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Unsupervised Multiclass Region Cosegmentation via Ensemble Clustering and Energy Minimization
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Constraint Neighborhood Projections for Semi-Supervised Clustering
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Per-Cluster Ensemble Kernel Learning for Multi-Modal Image Clustering With Group-Dependent Feature Selection
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Face and Hair Region Labeling Using Semi-Supervised Spectral Clustering-Based Multiple Segmentations
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Class Discovery From Gene Expression Data Based on Perturbation and Cluster Ensemble
inferredcites →https://doi.org/10.1109/tnb.2011.2144997openalex-snapshot
Knowledge Based Cluster Ensemble for Cancer Discovery From Biomolecular Data
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inferredcites →https://doi.org/10.1109/tpami.2005.237openalex-snapshot
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Active Semi-Supervision for Pairwise Constrained Clustering
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