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Semi-supervised clustering, methods and applications: A systematic review

https://doi.org/10.2139/ssrn.6576148
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Research Progress on Semi-Supervised Clustering
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Molecular Dynamics Simulations of Gas-Expanded Liquids
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Modeling of complex industrial process based on active semi-supervised clustering
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Confidence-weighted safe semi-supervised clustering
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Graph convolutional networks for graphs containing missing features
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mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification
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Conditional Wasserstein generative adversarial network-gradient penalty-based approach to alleviating imbalanced data classification
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Dual semi-supervised convex nonnegative matrix factorization for data representation
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A review on semi-supervised clustering
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Inference and evaluation of the multinomial mixture model for text clustering
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Semi-supervised and un-supervised clustering: A review and experimental evaluation
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A comprehensive study of fractal clustering and firefly algorithm for WSN Deployment: Implementation and outcomes
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Semi-supervised discriminative common vector method for computer vision applications
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Constrained Semi-Supervised Growing Self-Organizing Map
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Semi-supervised convex nonnegative matrix factorizations with graph regularized for image representation
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Adaptive Neighborhood MinMax Projections
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Multi-modal constraint propagation via compatible conditional distribution reconstruction
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Learning from pairwise constraints by Similarity Neural Networks
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Pairwise constrained concept factorization for data representation
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Active learning for semi-supervised clustering based on locally linear propagation reconstruction
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Ship trajectory segmentation and semisupervised clustering via geospatial background knowledge
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Unsupervised learning of prototypes and attribute weights
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ECM: An evidential version of the fuzzy c-means algorithm
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A semi-supervised fuzzy clustering algorithm applied to gene expression data
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Semi-supervised pivotal-aware nonnegative matrix factorization with label and pairwise constraint propagation for data clustering
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Genetic algorithm-based clustering technique
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Focusing on potential named entities during active label acquisition
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Text Classification from Labeled and Unlabeled Documents using EM
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Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
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Learning the parts of objects by non-negative matrix factorization
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Deep learning
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Direction‐based similarity measure to trajectory clustering
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Multidimensional group analysis
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Query-Augmented Active Metric Learning
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An Augmented ADMM Algorithm With Application to the Generalized Lasso Problem
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Semi-supervised hierarchical optimization-based affinity propagation algorithm and its applications
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Markov Random Fields and Their Applications
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Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables
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Supervised learning of large perceptual organization: graph spectral partitioning and learning automata
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Joint Linear Regression and Nonnegative Matrix Factorization Based on Self-Organized Graph for Image Clustering and Classification
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Semi-Supervised Malware Clustering Based on the Weight of Bytecode and API
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Interpretable Multi-Criteria ABC Analysis Based on Semi-Supervised Clustering and Explainable Artificial Intelligence
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SS-DBSCAN: Semi-Supervised Density-Based Spatial Clustering of Applications With Noise for Meaningful Clustering in Diverse Density Data
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Active Learning for Evolutionary Constrained Clustering
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Success-history based adaptive differential evolution algorithm with multi-chaotic framework for parent selection performance on CEC2014 benchmark set
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Learning Distance Metrics with Contextual Constraints for Image Retrieval
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Constrained Clustering and Its Application to Face Clustering in Videos
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Data Clustering with Cluster Size Constraints Using a Modified K-Means Algorithm
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A Framework for Semi-supervised Clustering Based on Dimensionality Reduction
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Active Semi-Supervised Clustering Based on Multi-View Learning
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Trajectory Similarity Measure Design for Ship Trajectory Clustering
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Constrained K-means with external information
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Semi-Supervised Clustering of XML Documents: Getting the Most from Structural Information
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Active Spectral Clustering
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Text Clustering via Constrained Nonnegative Matrix Factorization
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Ensemble Learning for Spectral Clustering
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Star: Semi-supervised-Clustering Technique with Application for Retrieval of Video
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Boost image clustering with user query log
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Balanced Active Sampling for Person Re-identification
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A novel semi-supervised approach for network traffic clustering
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Categorization using semi-supervised clustering
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Simulation Research on Network Marketing Effectiveness Model Based on Constraint Clustering Algorithm
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Research on Classified Information Security of Computer Network Based on Big Data Clustering Algorithm
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Density-based clustering with side information and active learning
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Active Semi-supervised Spectral Clustering
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A Semi-supervised Approach to Estimate the Number of Clusters per Class
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Clustering Using a Similarity Measure Based on Shared Near Neighbors
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A Semisupervised Soft-Sensor of Just-in-Time Learning With Structure Entropy Clustering and Applications for Industrial Processes Monitoring
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Active Learning Based Constrained Clustering For Speaker Diarization
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Semi-Supervised Clustering via Cannot Link Relationship for Multiview Data
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Semi-Supervised Linear Discriminant Clustering
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Semi-Supervised Nonnegative Matrix Factorization via Constraint Propagation
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Semisupervised Prior Free Rare Category Detection With Mixed Criteria
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MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
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A Novel Semisupervised Active-Learning Algorithm for Hyperspectral Image Classification
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Semi-Supervised Deep Learning Using Pseudo Labels for Hyperspectral Image Classification
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Semi-Supervised Domain Adaptive Structure Learning
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Least squares quantization in PCM
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Semisupervised Clustering by Queries and Locally Encodable Source Coding
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Adaptive Clustering for Multiple Evolving Streams
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Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering
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Learning Bregman Distance Functions for Semi-Supervised Clustering
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Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
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MKBoost: A Framework of Multiple Kernel Boosting
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Active Learning of Constraints for Semi-Supervised Clustering
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Semi-Supervised Nonlinear Distance Metric Learning via Forests of Max-Margin Cluster Hierarchies
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Label Propagated Nonnegative Matrix Factorization for Clustering
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Differentiable Clustering for Graph Attention
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SDAC-DA: Semi-Supervised Deep Attributed Clustering Using Dual Autoencoder
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Constrained Tensor Representation Learning for Multi-View Semi-Supervised Subspace Clustering
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Mercer kernel-based clustering in feature space
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Survey of Clustering Algorithms
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Twin Support Vector Machine for Clustering
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Constrained Clustering With Nonnegative Matrix Factorization
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Pairwise Constraint Propagation With Dual Adversarial Manifold Regularization
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Semisupervised Progressive Representation Learning for Deep Multiview Clustering
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SplitAUM: Auxiliary Model-Based Label Inference Attack Against Split Learning
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A Cluster Separation Measure
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Constrained Nonnegative Matrix Factorization for Image Representation
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Active Clustering with Model-Based Uncertainty Reduction
inferredcites →https://doi.org/10.1109/tpami.2017.2763945openalex-snapshot
Partition Level Constrained Clustering
inferredcites →https://doi.org/10.1109/tpami.2023.3327471openalex-snapshot
A Theoretical Analysis of Density Peaks Clustering and the Component-Wise Peak-Finding Algorithm
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Internet Traffic Classification Using Constrained Clustering
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Affinity Propagation in Semi-Supervised Segmentation: A Biomedical Application
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Sky-Image-Derived Deep Decomposition for Ultra-Short-Term Photovoltaic Power Forecasting
inferredcites →https://doi.org/10.1109/wi-iat.2009.45openalex-snapshot
Active Learning of Instance-Level Constraints for Semi-supervised Document Clustering
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THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
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Semisupervised classification for hyperspectral image based on spatial-spectral clustering
inferredcites →https://doi.org/10.1126/science.1136800openalex-snapshot
Clustering by Passing Messages Between Data Points
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Clustering by fast search and find of density peaks
inferredcites →https://doi.org/10.1137/1.9781611972740.31openalex-snapshot
Active Semi-Supervision for Pairwise Constrained Clustering
inferredcites →https://doi.org/10.1137/s1052623494268455openalex-snapshot
Numerical Experience with Lower Bounds for MIQP Branch-And-Bound
inferredcites →https://doi.org/10.1145/1007352.1007400openalex-snapshot
On coresets for k-means and k-median clustering
inferredcites →https://doi.org/10.1145/1273496.1273523openalex-snapshot
Information-theoretic metric learning
inferredcites →https://doi.org/10.1145/3422622openalex-snapshot
Generative adversarial networks
inferredcites →https://doi.org/10.1145/3653022openalex-snapshot
Semi-supervised Multi-view Clustering based on NMF with Fusion Regularization
inferredcites →https://doi.org/10.1145/965139.807361openalex-snapshot
Color gamut transform pairs
inferredcites →https://doi.org/10.1155/2020/3207306openalex-snapshot
Active Learning for Constrained Document Clustering with Uncertainty Region
inferredcites →https://doi.org/10.1155/2022/2224807openalex-snapshot
Construction of Automatic Matching Recommendation System for Web Page Image Packaging Design Based on Constrained Clustering Algorithm
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GTM: The Generative Topographic Mapping
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Semi-supervised clustering of time-dependent categorical sequences with application to discovering education-based life patterns
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Semi-supervised clustering of fractionated electrograms for electroanatomical atrial mapping
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Kernel density estimation via diffusion
inferredcites →https://doi.org/10.1214/aoap/1177004696openalex-snapshot
Hidden Markov Random Fields
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On Information and Sufficiency
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Generative Manifold Learning for the Exploration of Partially Labeled Data
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Semi-Supervised Clustering Algorithms Through Active Constraints
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Clustering with Complex Constraints — Algorithms and Applications
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Relational Stacked Denoising Autoencoder for Tag Recommendation
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Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling
inferredcites →https://doi.org/10.1609/aaai.v38i11.29152openalex-snapshot
SEC: More Accurate Clustering Algorithm via Structural Entropy
inferredcites →https://doi.org/10.20965/jaciii.2007.p0554openalex-snapshot
Unsupervised and Semi-Supervised Graph-Spectral Algorithms for Robust Extraction of Arbitrarily Shaped Fuzzy Clusters
inferredcites →https://doi.org/10.20965/jaciii.2012.p0814openalex-snapshot
Sequential Regression Models with Pairwise Constraints Using Noise Clusters
inferredcites →https://doi.org/10.20965/jaciii.2016.p1035openalex-snapshot
Image Clustering Using Active-Constraint Semi-Supervised Affinity Propagation
inferredcites →https://doi.org/10.21105/joss.00205openalex-snapshot
hdbscan: Hierarchical density based clustering
inferredcites →https://doi.org/10.23919/icact53585.2022.9728938openalex-snapshot
Active constraints selection based on density peak
inferredcites →https://doi.org/10.24846/v32i3y202301openalex-snapshot
Deep Constrained Clustering with Active Learning
inferredcites →https://doi.org/10.26599/tst.2022.9010056openalex-snapshot
Efficient Algorithm for the $k$-Means Problem with Must-Link and Cannot-Link Constraints
inferredcites →https://doi.org/10.3115/1705415.1705425openalex-snapshot
Unsupervised and constrained Dirichlet process mixture models for verb clustering
inferredcites →https://doi.org/10.3233/ida-150499openalex-snapshot
Active seed selection for constrained clustering
inferredcites →https://doi.org/10.3233/ida-150720openalex-snapshot
A batch-mode active learning SVM method based on semi-supervised clustering
inferredcites →https://doi.org/10.3233/ida-2010-0461openalex-snapshot
Active learning and subspace clustering for anomaly detection
inferredcites →https://doi.org/10.32604/cmc.2024.050920openalex-snapshot
Multiscale and Auto-Tuned Semi-Supervised Deep Subspace Clustering and Its Application in Brain Tumor Clustering
inferredcites →https://doi.org/10.32604/iasc.2023.034656openalex-snapshot
Semi-Supervised Clustering Algorithm Based on Deep Feature Mapping
inferredcites →https://doi.org/10.3390/a14090258openalex-snapshot
A Novel Semi-Supervised Fuzzy C-Means Clustering Algorithm Using Multiple Fuzzification Coefficients
inferredcites →https://doi.org/10.3390/app131810050openalex-snapshot
Double-Constrained Consensus Clustering with Application to Online Anti-Counterfeiting
inferredcites →https://doi.org/10.3390/s21103410openalex-snapshot
Constraint-Based Hierarchical Cluster Selection in Automotive Radar Data
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