Unsupervised Optimal Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topology representing networks
Neural Networks
Machine Learning
Self-organizing maps
The handbook of brain theory and neural networks
Neural maps and topographic vector quantization
Neural Networks
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Neural Networks
Neural Computation and Self-Organizing Maps; An Introduction
Neural Computation and Self-Organizing Maps; An Introduction
A Greedy EM Algorithm for Gaussian Mixture Learning
Neural Processing Letters
A Note on the Universal Approximation Capability of Support Vector Machines
Neural Processing Letters
New Methods for Splice Site Recognition
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Learning Vector Quantization for Multimodal Data
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Generalized relevance learning vector quantization
Neural Networks - New developments in self-organizing maps
Soft learning vector quantization
Neural Computation
On the influence of the kernel on the consistency of support vector machines
The Journal of Machine Learning Research
Neural maps in remote sensing image analysis
Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences
Growing a hypercubical output space in a self-organizing feature map
IEEE Transactions on Neural Networks
Topology preservation in self-organizing feature maps: exact definition and measurement
IEEE Transactions on Neural Networks
A new methodology of extraction, optimization and application of crisp and fuzzy logical rules
IEEE Transactions on Neural Networks
Bankruptcy analysis with self-organizing maps in learning metrics
IEEE Transactions on Neural Networks
Self-organizing maps, vector quantization, and mixture modeling
IEEE Transactions on Neural Networks
On the Generalization Ability of GRLVQ Networks
Neural Processing Letters
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Fuzzy classification by fuzzy labeled neural gas
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Performance analysis of LVQ algorithms: a statistical physics approach
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Margin-based active learning for LVQ networks
Neurocomputing
Dynamics and Generalization Ability of LVQ Algorithms
The Journal of Machine Learning Research
Prototype based fuzzy classification in clinical proteomics
International Journal of Approximate Reasoning
Application of the cross entropy method to the GLVQ algorithm
Pattern Recognition
Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
Cancer informatics by prototype networks in mass spectrometry
Artificial Intelligence in Medicine
Expansive competitive learning for kernel vector quantization
Pattern Recognition Letters
Neural Networks
Learning vector quantization with adaptive prototype addition and removal
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Fuzzy ARTMAP with Feature Weighting
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
Adaptive relevance matrices in learning vector quantization
Neural Computation
Enhanced neural gas network for prototype-based clustering
Pattern Recognition
Fuzzy labeled self-organizing map for classification of spectra
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Improving the GRLVQ algorithm by the cross entropy method
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Energy Supervised Relevance Neural Gas for Feature Ranking
Neural Processing Letters
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Informational energy kernel for LVQ
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Generalized learning graph quantization
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Prototype based classification using information theoretic learning
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Perspectives of self-adapted self-organizing clustering in organic computing
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
A new two-step gradient-based backpropagation training method for neural networks
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
Fuzzy labeled self-organizing map with label-adjusted prototypes
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
Learning vector quantization classification with local relevance determination for medical data
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Local metric adaptation for soft nearest prototype classification to classify proteomic data
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Detection of locally relevant variables using SOM-NG algorithm
Engineering Applications of Artificial Intelligence
Border-sensitive learning in kernelized learning vector quantization
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
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Prototype based classification offers intuitive and sparse models with excellent generalization ability. However, these models usually crucially depend on the underlying Euclidian metric; moreover, online variants likely suffer from the problem of local optima. We here propose a generalization of learning vector quantization with three additional features: (I) it directly integrates neighborhood cooperation, hence is less affected by local optima; (II) the method can be combined with any differentiable similarity measure whereby metric parameters such as relevance factors of the input dimensions can automatically be adapted according to the given data; (III) it obeys a gradient dynamics hence shows very robust behavior, and the chosen objective is related to margin optimization.