Unsupervised Optimal Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topology representing networks
Neural Networks
Self-organizing maps
A fast fixed-point algorithm for independent component analysis
Neural Computation
The handbook of brain theory and neural networks
The handbook of brain theory and neural networks
Self-Organizing Maps and Learning Vector Quantization forFeature Sequences
Neural Processing Letters
Extensions and modifications of the Kohenen-SOM and applications in remote sensing image analysis
Self-Organizing neural networks
Bayesian Learning for Neural Networks
Bayesian Learning for Neural Networks
Clustering based on conditional distributions in an auxiliary space
Neural Computation
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
Anisotropic noise injection for input variables relevance determination
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
Supervised Neural Gas with General Similarity Measure
Neural Processing Letters
Neural maps in remote sensing image analysis
Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences
On the Generalization Ability of GRLVQ Networks
Neural Processing Letters
Learning Vector Quantization with Training Data Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recursive self-organizing network models
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Improved learning of Riemannian metrics for exploratory analysis
Neural Networks - 2004 Special issue: New developments in self-organizing systems
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
Feature Fusion for the Detection of Microsleep Events
Journal of VLSI Signal Processing Systems
Prototype based fuzzy classification in clinical proteomics
International Journal of Approximate Reasoning
Computers in Biology and Medicine
Application of the cross entropy method to the GLVQ algorithm
Pattern Recognition
Fuzzy Q-Map Algorithm for Reinforcement Learning
Computational Intelligence and Security
Discrimination of Coronary Microcirculatory Dysfunction Based on Generalized Relevance LVQ
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
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
Statistical Mechanics of On-line Learning
Similarity-Based Clustering
Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Distance learning in discriminative vector quantization
Neural Computation
Using self-organizing maps to visualize high-dimensional data
Computers & Geosciences
Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Learning vector quantization with adaptive prototype addition and removal
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Patient stratification with competing risks by multivariate fisher distance
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Adaptive relevance matrices in learning vector quantization
Neural Computation
Regularized margin-based conditional log-likelihood loss for prototype learning
Pattern Recognition
Fuzzy labeled self-organizing map for classification of spectra
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Analysis of tiling microarray data by learning vector quantization and relevance learning
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
A vector quantization approach for life-long learning of categories
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Regularization in matrix relevance learning
IEEE Transactions on Neural Networks
Energy Supervised Relevance Neural Gas for Feature Ranking
Neural Processing Letters
WSEAS Transactions on Information Science and Applications
Window-based example selection in learning vector quantization
Neural Computation
Generalized derivative based kernelized learning vector quantization
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Weighted learning vector quantization to cost-sensitive learning
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Self-organizing multilayer perceptron
IEEE Transactions on Neural Networks
Relevance learning in generative topographic mapping
Neurocomputing
Divergence-based vector quantization
Neural Computation
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
Fusion of state space and frequency-domain features for improved microsleep detection
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
Sparse functional relevance learning in generalized learning vector quantization
WSOM'11 Proceedings of the 8th international conference on Advances in self-organizing maps
Relevance learning in unsupervised vector quantization based on divergences
WSOM'11 Proceedings of the 8th international conference on Advances in self-organizing maps
Prototype-based classification of dissimilarity data
IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
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
Cluster-based adaptive metric classification
Neurocomputing
The mathematics of divergence based online learning in vector quantization
ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition
Cluster analysis of cortical pyramidal neurons using SOM
ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition
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
The performance of LVQ based automatic relevance determination applied to spontaneous biosignals
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Relational extensions of learning vector quantization
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
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
Vector quantization based approximate spectral clustering of large datasets
Pattern Recognition
Fuzzy supervised self-organizing map for semi-supervised vector quantization
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Fuzzy neural gas for unsupervised vector quantization
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Fuzzy Kohonen clustering networks for interval data
Neurocomputing
Adaptive metric learning vector quantization for ordinal classification
Neural Computation
Texture feature ranking with relevance learning to classify interstitial lung disease patterns
Artificial Intelligence in Medicine
Learning relevant time points for time-series data in the life sciences
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Kernel robust soft learning vector quantization
ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
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
International Journal of Automation and Computing
Influence of class distribution on cost-sensitive learning: A case study of bankruptcy analysis
Intelligent Data Analysis
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We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of the input dimensions according to their relevance. They are adapted automatically during training according to the specific classification task whereby training can be interpreted as stochastic gradient descent on an appropriate error function. This method leads to a more powerful classifier and to an adaptive metric with little extra cost compared to standard GLVQ. Moreover, the size of the weighting factors indicates the relevance of the input dimensions. This proposes a scheme for automatically pruning irrelevant input dimensions. The algorithm is verified on artificial data sets and the iris data from the UCI repository. Afterwards, the method is compared to several well known algorithms which determine the intrinsic data dimension on real world satellite image data.