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Constraint projections for semi‐supervised spectral clustering ensemble

https://doi.org/10.1002/cpe.5359
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Bayesian cluster ensembles
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Cluster ensembles
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Control with micro precision in abrasive machining through the use of acoustic emission signals
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Combined constraint-based with metric-based in semi-supervised clustering ensemble
inferredcites →https://doi.org/10.1016/j.ins.2014.01.030openalex-snapshot
Probabilistic cluster structure ensemble
inferredcites →https://doi.org/10.1016/j.knosys.2012.05.011openalex-snapshot
Constraint projections for semi-supervised affinity propagation
inferredcites →https://doi.org/10.1016/j.neucom.2015.09.009openalex-snapshot
Semi-supervised hierarchical clustering ensemble and its application
inferredcites →https://doi.org/10.1016/j.socnet.2015.03.002openalex-snapshot
A note on using the adjusted Rand index for link prediction in networks
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Satellite image classification of different resolution images using cluster ensemble techniques
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Semi-supervised cluster ensemble based on binary similarity matrix
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Sampling based approximate spectral clustering ensemble for unsupervised land cover identification
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An Approximate Spectral Clustering Ensemble for High Spatial Resolution Remote-Sensing Images
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DICLENS: Divisive Clustering Ensemble with Automatic Cluster Number
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SC³: Triple Spectral Clustering-Based Consensus Clustering Framework for Class Discovery from Cancer Gene Expression Profiles
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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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Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data
inferredcites →https://doi.org/10.1109/tcyb.2015.2492920openalex-snapshot
Creating Discriminative Models for Time Series Classification and Clustering by HMM Ensembles
inferredcites →https://doi.org/10.1109/tcyb.2016.2569529openalex-snapshot
Distribution-Based Cluster Structure Selection
inferredcites →https://doi.org/10.1109/tcyb.2017.2702343openalex-snapshot
Locally Weighted Ensemble Clustering
inferredcites →https://doi.org/10.1109/tifs.2014.2359369openalex-snapshot
Framework for Active Clustering With Ensembles
inferredcites →https://doi.org/10.1109/tkde.2010.268openalex-snapshot
A Link-Based Cluster Ensemble Approach for Categorical Data Clustering
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Adaptive Noise Immune Cluster Ensemble Using Affinity Propagation
inferredcites →https://doi.org/10.1109/tkde.2015.2499200openalex-snapshot
Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering
inferredcites →https://doi.org/10.1109/tkde.2015.2503753openalex-snapshot
Robust Ensemble Clustering Using Probability Trajectories
inferredcites →https://doi.org/10.1109/tkde.2017.2650229openalex-snapshot
Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence
inferredcites →https://doi.org/10.1109/tkde.2017.2695615openalex-snapshot
Adaptive Ensembling of Semi-Supervised Clustering Solutions
inferredcites →https://doi.org/10.1109/tkde.2018.2818729openalex-snapshot
Semi-Supervised Ensemble Clustering Based on Selected Constraint Projection
inferredcites →https://doi.org/10.1109/tpami.2007.1138openalex-snapshot
Cumulative Voting Consensus Method for Partitions with Variable Number of Clusters
inferredcites →https://doi.org/10.1109/tpami.2010.85openalex-snapshot
Coordination of Cluster Ensembles via Exact Methods
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Visual Analytics for Comparison of Ocean Model Output with Reference Data: Detecting and Analyzing Geophysical Processes Using Clustering Ensembles
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10.1162/153244303321897735

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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An ensemble hierarchical clustering algorithm based on merits at cluster and partition levels
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Self-supervised spectral clustering with spectral embedding for hyperspectral image classification
inferred← citeshttps://doi.org/10.1109/access.2020.3010475openalex-snapshot
An Improved Consensus Clustering Algorithm Based on Cell-Like P Systems With Multi-Catalysts
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9891939openalex-snapshot
Anchored Constrained Clustering Ensemble
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Large‐Scale Spectral Clustering Based on Representative Points
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Ultra-Short-Term Photovoltaic Power Forecasting Based on SPC clustering and AWTD decomposition with COA optimized LSTM
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