Semi-supervised graph clustering: a kernel approach

No abstract is available for this paper.

• Publication year

  2005

• Venue

  Machine-mediated learning

• Publication date

  2005-08-07

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1007/s10994-008-5084-4
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Semi-Supervised Learning

  2019cited by this paper
• On Spectral Learning

  2010influential reference
• Fast Low-Rank Semidefinite Programming for Embedding and Clustering

  2007influential reference
• Weighted Graph Cuts without Eigenvectors A Multilevel Approach

  2007influential reference
• Semi-Supervised Learning

  2006cited by this paper
• Learning with constrained and unlabelled data

  2005cited by this paper
• Clustering with Constraints: Feasibility Issues and the k-Means Algorithm

  2005cited by this paper
• Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results

  2005cited by this paper
• Elements of Information Theory

  2005cited by this paper
• Model-based Clustering With Probabilistic Constraints

  2005cited by this paper
• The pyramid match kernel: discriminative classification with sets of image features

  2005cited by this paper
• Kernel k-means: spectral clustering and normalized cuts

  2004influential reference
• A probabilistic framework for semi-supervised clustering

  2004influential reference
• Integrating constraints and metric learning in semi-supervised clustering

  2004influential reference
• Locally linear metric adaptation for semi-supervised clustering

  2004cited by this paper
• A Unified View of Kernel k-means , Spectral Clustering and Graph Cuts

  2004influential reference
• A Probabilistic Functional Network of Yeast Genes

  2004cited by this paper
• Active Semi-Supervision for Pairwise Constrained Clustering

  2004influential reference
• A Comparison of Inference Techniques for Semi-supervised Clustering with Hidden Markov Random Fields

  2004cited by this paper
• A discriminative learning framework with pairwise constraints for video object classification

  2004cited by this paper
• Semi-supervised Learning with Penalized Probabilistic Clustering

  2004cited by this paper
• Segmentation given partial grouping constraints

  2004cited by this paper
• Kernels and Regularization on Graphs

  2003cited by this paper
• Efficiently Learning the Metric with Side-Information

  2003cited by this paper
• Learning Distance Functions using Equivalence Relations

  2003influential reference
• Multiclass spectral clustering

  2003cited by this paper
• Clustering with qualitative information

  2003cited by this paper
• Introduction to Support Vector Machines

  2002cited by this paper
• Semi-supervised Clustering by Seeding

  2002cited by this paper
• Distance Metric Learning with Application to Clustering with Side-Information

  2002cited by this paper
• Clustering Based on Conditional Distributions in an Auxiliary Space

  2002cited by this paper
• From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering

  2002cited by this paper
• A Random Walks View of Spectral Segmentation

  2001cited by this paper
• Constrained K-means Clustering with Background Knowledge

  2001cited by this paper
• Impact of Similarity Measures on Web-page Clustering

  2000cited by this paper
• An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

  2000cited by this paper
• KEGG: Kyoto Encyclopedia of Genes and Genomes

  2000cited by this paper
• Semi-Supervised Clustering Using Genetic Algorithms

  1999cited by this paper
• Approximation algorithms for classification problems with pairwise relationships: metric labeling and Markov random fields

  1999cited by this paper
• Normalized cuts and image segmentation

  1997cited by this paper
• Spectral K-Way Ratio-Cut Partitioning and Clustering

  1993cited by this paper
• SPECTRAL K-WAY RATIO-CUT PARTITIONING -- PART I: PRELIMINARY RESULTS

  1992cited by this paper
• Pattern classification and scene analysis

  1974cited by this paper
• Pattern classification and scene analysis

  1974cited by this paper

• Cequel: Cost-Effective Querying of Large Language Models for Text Clustering

  2025cites this paper
• Angular Constraint Embedding via SpherePair Loss for Constrained Clustering

  2025cites this paper
• Semi-supervised constrained clustering: an in-depth overview, ranked taxonomy and future research directions

  2025cites this paper
• Semi-supervised classification with pairwise constraints: A case study on animal identification from video

  2024cites this paper
• A review of research and development of semi-supervised learning strategies for medical image processing

  2024cites this paper
• Accelerating data-driven algorithm selection for combinatorial partitioning problems

  2024cites this paper
• AceMap: Knowledge Discovery through Academic Graph

  2024cites this paper
• Large-scale gene expression data clustering through incremental ensemble approach

  2024cites this paper
• A survey on semi-supervised graph clustering

  2024cites this paper
• Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching

  2023cites this paper
• GEX: A flexible method for approximating influence via Geometric Ensemble

  2023cites this paper
• Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach

  2023cites this paper
• A Comprehensive Survey on Graph Summarization With Graph Neural Networks

  2023cites this paper
• MRT: Tracing the Evolution of Scientific Publications

  2023cites this paper
• Constrained Density Peak Clustering

  2023cites this paper
• Graph Neural Network Surrogates of Fair Graph Filtering

  2023cites this paper
• Knowledge augmentation-based soft constraints for semi-supervised clustering

  2023cites this paper
• Semi-supervised Projected Subspace Clustering

  2023cites this paper
• An efficient semi-supervised balanced cut with hard pairwise constraints and partial labels

  2023cites this paper
• BESS: Balanced evolutionary semi-stacking for disease detection using partially labeled imbalanced data

  2022cites this paper
• Constrained Mean Shift Clustering

  2022cites this paper
• The Lannion report on Big Data and Security Monitoring Research

  2022cites this paper
• A Least Square Approach to Semi-supervised Local Cluster Extraction

  2022cites this paper
• IdeaReader: A Machine Reading System for Understanding the Idea Flow of Scientific Publications

  2022cites this paper
• SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks

  2022cites this paper
• Constrained clustering and multiple kernel learning without pairwise constraint relaxation

  2022influential citation
• Semi-supervised Local Cluster Extraction by Compressive Sensing

  2022cites this paper
• Incremental learning for transductive support vector machine

  2022cites this paper
• On rough set based fuzzy clustering for graph data

  2022cites this paper
• A Bibliographic View on Constrained Clustering

  2022cites this paper
• Graph-based Semi-supervised Local Clustering with Few Labeled Nodes

  2022cites this paper
• A Compressed Sensing Based Least Squares Approach to Semi-supervised Local Cluster Extraction

  2022cites this paper
• Multimodal Traffic Speed Monitoring: A Real-Time System Based on Passive Wi-Fi and Bluetooth Sensing Technology

  2022cites this paper
• Semi-Supervised Clustering via Dynamic Graph Structure Learning

  2022cites this paper
• Interactive Correlation Clustering with Existential Cluster Constraints

  2022influential citation
• Targeting GPCRs Via Multi-Platforms Arrays and AI

  2021cites this paper
• GRAPH BASED CLUSTERING WITH CONSTRAINTS AND ACTIVE LEARNING

  2021cites this paper
• Multi-Scale Deep Nearest Neighbors

  2021cites this paper
• A semi-supervised method for fast prediction of chaotic motions in nonintegrable systems

  2021cites this paper
• Local search for constrained graph clustering in biological networks

  2021cites this paper
• ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks

  2021cites this paper
• Prior Signal Editing for Graph Filter Posterior Fairness Constraints

  2021cites this paper
• Diagnostic Sparse Connectivity Networks With Regularization Template

  2021cites this paper
• GenCAT: Generating Attributed Graphs with Controlled Relationships between Classes, Attributes, and Topology

  2021cites this paper
• An Adaptive Robust Semi-Supervised Clustering Framework Using Weighted Consensus of Random <inline-formula><tex-math notation="LaTeX">$k$</tex-math><alternatives><mml:math><mml:mi>k</mml:mi></mml:math><inline-graphic xlink:href="yang-ieq1-2952596.gif"/></alternatives></inline-formula>-Means Ensemble

  2021cites this paper
• Machine Learning Modelling-Powered IoT Systems for Smart Applications

  2021cites this paper
• Network‐based semisupervised clustering

  2021cites this paper
• Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions

  2021cites this paper
• A graph-based method for ranking of cloud service providers

  2021cites this paper
• Social Mechanics: An Empirically Grounded Science of Social Media

  2021cites this paper
• Learn The Big Picture: Representation Learning for Clustering

  2021cites this paper
• Semi-supervised kernel matrix learning using adaptive constraint-based seed propagation

  2020cites this paper
• Centroid Estimation With Guaranteed Efficiency: A General Framework for Weakly Supervised Learning

  2020cites this paper
• Link-aware semi-supervised hypergraph

  2020cites this paper
• Semi-supervised Clustering via Pairwise Constrained Optimal Graph

  2020cites this paper
• Semi-Supervised Density Peaks Clustering Based on Constraint Projection

  2020cites this paper
• WSNB: Wearable Sensors with Neural Networks Located in a Base Station for IoT Environment

  2020cites this paper
• Machine Learning and Natural Language Processing: Review of Models and Optimization Problems

  2020cites this paper
• A new Ensemble Clustering Algorithm using a Reconstructed Mapping Coefficient

  2020cites this paper
• ICT Innovations 2020. Machine Learning and Applications: 12th International Conference, ICT Innovations 2020, Skopje, North Macedonia, September 24–26, 2020, Proceedings

  2020cites this paper
• A survey on machine learning in Internet of Things: Algorithms, strategies, and applications

  2020cites this paper
• New label propagation algorithm with pairwise constraints

  2020cites this paper
• Constrained Clustering: Current and New Trends

  2020cites this paper
• Local Motif Clustering on Time-Evolving Graphs

  2020cites this paper
• Fast clustering methods based on learning spectral embedding

  2020cites this paper
• Constrained Dominant sets and Its applications in computer vision

  2020cites this paper
• Zero-net energy management for the monitoring and control of dynamically-partitioned smart water systems

  2020cites this paper
• Classifying Tunnel Anomalies Based on Ultraweak FBGs Signal and Transductive RVM Combined With Gaussian Mixture Model

  2020cites this paper
• MEGA

  2020cites this paper
• Functional parcellation of the hippocampus by semi-supervised clustering of resting state fMRI data

  2020cites this paper
• Efficient Distributed Clustering Algorithms on Star-Schema Heterogeneous Graphs

  2020cites this paper
• Recent Advances On Ontology Similarity Metrics: A Survey

  2020cites this paper
• Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks

  2019cites this paper
• Bayesian Structured Representation Learning

  2019cites this paper
• Optimization for Image Segmentation

  2019influential citation
• A Survey of Optimization Methods From a Machine Learning Perspective

  2019cites this paper
• Learning a metric when clustering data points in the presence of constraints

  2019cites this paper
• Efficient and Incremental Clustering Algorithms on Star-Schema Heterogeneous Graphs

  2019cites this paper
• Multistage System-Based Machine Learning Techniques for Intrusion Detection in WiFi Network

  2019cites this paper
• Automatic Multiscale Approach for Water Networks Partitioning into Dynamic District Metered Areas

  2019influential citation
• Clustering and Its Extensions in the Social Media Domain

  2019cites this paper
• Temporal Ordered Clustering in Dynamic Networks: Unsupervised and Semi-Supervised Learning Algorithms

  2019cites this paper
• A Semi-Supervised Framework of Clustering Selection for De-Duplication

  2019cites this paper
• Zero-net energy management for the monitoring and control of smart water systems

  2019cites this paper
• CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples

  2019cites this paper
• General Generator for Attributed Graphs with Community Structure

  2019cites this paper
• Making sense of kernel spaces in neural learning

  2019cites this paper
• Learning Semisupervised Multilabel Fully Convolutional Network for Hierarchical Object Parsing

  2019cites this paper
• Minimum Spanning Tree Based Clustering for Human Gait Classification

  2019cites this paper
• Neuroscience-Inspired Online Unsupervised Learning Algorithms: Artificial neural networks

  2019cites this paper
• Kernel-Based Distance Metric Learning for Supervised $k$ -Means Clustering

  2019cites this paper
• A bi-partitioning approach to congestion pattern recognition in a congested monocentric city

  2019cites this paper
• Multi-label learning vector quantization for semi-supervised classification

  2019cites this paper
• Graph-based data clustering via multiscale community detection

  2019cites this paper
• A semi-supervised clustering-based approach for stratification identification using borehole and cone penetration test data

  2019cites this paper
• Imbalance-aware Pairwise Constraint Propagation

  2019cites this paper
• A New Incremental Semi-Supervised Graph Based Clustering

  2018cites this paper
• A PAC-Theory of Clustering with Advice

  2018cites this paper
• Entropy-based active sparse subspace clustering

  2018cites this paper
• Spectral feature scaling method for supervised dimensionality reduction

  2018cites this paper