Self-organizing maps
ACM Computing Surveys (CSUR)
Support vector domain description
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
The Journal of Machine Learning Research
Mercer kernel-based clustering in feature space
IEEE Transactions on Neural Networks
Dynamic Characterization of Cluster Structures for Robust and Inductive Support Vector Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition
A survey of kernel and spectral methods for clustering
Pattern Recognition
Clustering Based on Gaussian Processes
Neural Computation
Dynamic training using multistage clustering for face recognition
Pattern Recognition
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
Pattern Recognition Letters
Soft clustering using weighted one-class support vector machines
Pattern Recognition
A Kernel-Based Two-Stage One-Class Support Vector Machines Algorithm
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Vector Quantization of Images Using a Fuzzy Clustering Method
Cybernetics and Systems
Graph nodes clustering with the sigmoid commute-time kernel: A comparative study
Data & Knowledge Engineering
Review: A review of machine learning approaches to Spam filtering
Expert Systems with Applications: An International Journal
Iterative Bayesian fuzzy clustering toward flexible icon-based assistive software for the disabled
Information Sciences: an International Journal
Clustering: A neural network approach
Neural Networks
An MRF-based kernel method for nonlinear feature extraction
Image and Vision Computing
Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study
Fuzzy Sets and Systems
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Fast support-based clustering method for large-scale problems
Pattern Recognition
A KNN-Scoring Based Core-Growing Approach to Cluster Analysis
Journal of Signal Processing Systems
Quantization-based clustering algorithm
Pattern Recognition
Clustering relational data based on randomized propositionalization
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Speech/music classification using occurrence pattern of ZCR and STE
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Scalable Clustering for Mining Local-Correlated Clusters in High Dimensions and Large Datasets
Fundamenta Informaticae - Intelligent Data Analysis in Granular Computing
Framelet kernels with applications to support vector regression and regularization networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
A spectral approach to clustering numerical vectors as nodes in a network
Pattern Recognition
MMSVC: an efficient unsupervised learning approach for large-scale datasets
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
A time-efficient pattern reduction algorithm for k-means clustering
Information Sciences: an International Journal
Kernel based K-medoids for clustering data with uncertainty
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Expert Systems with Applications: An International Journal
Dynamic pattern denoising method using multi-basin system with kernels
Pattern Recognition
CPRS: A cloud-based program recommendation system for digital TV platforms
Future Generation Computer Systems
Kernel-based algorithm for clustering spatial data
ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
A kernel prototype-based clustering algorithm
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Entropy-based iterative face classification
BioID'11 Proceedings of the COST 2101 European conference on Biometrics and ID management
Cloosting: clustering data with boosting
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Weighted association based methods for the combination of heterogeneous partitions
Pattern Recognition Letters
An intelligent system based on kernel methods for crop yield prediction
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
WIRN'05 Proceedings of the 16th Italian conference on Neural Nets
Surface reconstruction based on radial basis functions network
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Mean shift segmentation method based on hybridized particle swarm optimization
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Kernel-Based lip shape clustering with phoneme recognition for real-time voice driven talking face
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Filtering e-mail based on fuzzy support vector machines and aggregation operator
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
A novel self-created tree structure based multi-view face detection
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Applying a novel decision rule to the semi-supervised clustering method based on one-class SVM
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Modeling Paradigms for Medical Diagnostic Decision Support: A Survey and Future Directions
Journal of Medical Systems
Position regularized Support Vector Domain Description
Pattern Recognition
Support vector description of clusters for content-based image annotation
Pattern Recognition
Kernel fuzzy c-means with automatic variable weighting
Fuzzy Sets and Systems
Clustering in extreme learning machine feature space
Neurocomputing
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Kernel Methods are algorithms that, by replacing the inner product with an appropriate positive definite function, implicitly perform a nonlinear mapping of the input data into a high-dimensional feature space. In this paper, we present a kernel method for clustering inspired by the classical K-Means algorithm in which each cluster is iteratively refined using a one-class Support Vector Machine. Our method, which can be easily implemented, compares favorably with respect to popular clustering algorithms, like K-Means, Neural Gas, and Self-Organizing Maps, on a synthetic data set and three UCI real data benchmarks (IRIS data, Wisconsin breast cancer database, Spam database).