2005 Special Issue: Cross-entropy embedding of high-dimensional data using the neural gas model
Neural Networks - 2005 Special issue: IJCNN 2005
2005 Special Issue: Efficient streaming text clustering
Neural Networks - 2005 Special issue: IJCNN 2005
An adaptive incremental LBG for vector quantization
Neural Networks
Unsupervised learning with normalised data and non-Euclidean norms
Applied Soft Computing
Vector quantization and fuzzy ranks for image reconstruction
Image and Vision Computing
Perception through visuomotor anticipation in a mobile robot
Neural Networks
Magnification control for batch neural gas
Neurocomputing
A SVM-based cursive character recognizer
Pattern Recognition
A survey of kernel and spectral methods for clustering
Pattern Recognition
Extensions of vector quantization for incremental clustering
Pattern Recognition
Journal of Biomedical Informatics
Prototype based fuzzy classification in clinical proteomics
International Journal of Approximate Reasoning
Soft clustering using weighted one-class support vector machines
Pattern Recognition
Short-term stock price prediction based on echo state networks
Expert Systems with Applications: An International Journal
Cancer informatics by prototype networks in mass spectrometry
Artificial Intelligence in Medicine
Phase transitions in vector quantization and neural gas
Neurocomputing
Patch clustering for massive data sets
Neurocomputing
Neural Networks
An analysis of clustered failures on large supercomputing systems
Journal of Parallel and Distributed Computing
Computer Vision and Image Understanding
Bagging and AdaBoost algorithms for vector quantization
Neurocomputing
Clustering: A neural network approach
Neural Networks
Multivariate Student-t self-organizing maps
Neural Networks
Medical image compression using topology-preserving neural networks
Engineering Applications of Artificial Intelligence
Real-time interactive motion transitions by a uniform posture map
Future Generation Computer Systems
Unsupervised image categorization
Image and Vision Computing
Neurocomputing
An efficient MDS-based topographic mapping algorithm
Neurocomputing
Unsupervised recursive sequence processing
Neurocomputing
Magnification control in winner relaxing neural gas
Neurocomputing
Enhanced neural gas network for prototype-based clustering
Pattern Recognition
Median fuzzy c-means for clustering dissimilarity data
Neurocomputing
Local matrix adaptation in topographic neural maps
Neurocomputing
A multidirectional associative memory based on self-organizing incremental neural network
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Neurocomputing
Surveillance and human-computer interaction applications of self-growing models
Applied Soft Computing
Vector quantization based approximate spectral clustering of large datasets
Pattern Recognition
A local spectral distribution approach to face recognition
Computer Vision and Image Understanding
Approximation techniques for clustering dissimilarity data
Neurocomputing
A quantitative comparison of functional MRI cluster analysis
Artificial Intelligence in Medicine
MB-GNG: Addressing drawbacks in multi-objective optimization estimation of distribution algorithms
Operations Research Letters
Self-adaptive and dynamic clustering for online anomaly detection
Expert Systems with Applications: An International Journal
Fault detection and precedent-free localization in numerically discretized thermal-fluid systems
Expert Systems with Applications: An International Journal
GPGPU implementation of growing neural gas: Application to 3D scene reconstruction
Journal of Parallel and Distributed Computing
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
Position regularized Support Vector Domain Description
Pattern Recognition
The influence of supervised clustering for RBFNN centers definition: a comparative study
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Finding short structural motifs for re-construction of proteins 3D structure
Applied Soft Computing
Batch neural gas with deterministic initialization for color quantization
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Two-stage approach for electricity consumption forecasting in public buildings
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Magnitude Sensitive Competitive Learning
Neurocomputing
Visual analysis of a cold rolling process using a dimensionality reduction approach
Engineering Applications of Artificial Intelligence
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
3D hand pose estimation with neural networks
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
The novel seeding-based semi-supervised fuzzy clustering algorithm inspired by diffusion processes
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Learning spatially semantic representations for cognitive robot navigation
Robotics and Autonomous Systems
Evolving soft subspace clustering
Applied Soft Computing
Kernel fuzzy c-means with automatic variable weighting
Fuzzy Sets and Systems
Hybrid model of clustering and kernel autoassociator for reliable vehicle type classification
Machine Vision and Applications
Learning vector quantization for (dis-)similarities
Neurocomputing
Clustering by fuzzy neural gas and evaluation of fuzzy clusters
Computational Intelligence and Neuroscience
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A neural network algorithm based on a soft-max adaptation rule is presented. This algorithm exhibits good performance in reaching the optimum minimization of a cost function for vector quantization data compression. The soft-max rule employed is an extension of the standard K-means clustering procedure and takes into account a neighborhood ranking of the reference (weight) vectors. It is shown that the dynamics of the reference (weight) vectors during the input-driven adaptation procedure are determined by the gradient of an energy function whose shape can be modulated through a neighborhood determining parameter and resemble the dynamics of Brownian particles moving in a potential determined by the data point density. The network is used to represent the attractor of the Mackey-Glass equation and to predict the Mackey-Glass time series, with additional local linear mappings for generating output values. The results obtained for the time-series prediction compare favorably with the results achieved by backpropagation and radial basis function networks