A unified framework for model-based clustering
The Journal of Machine Learning Research
Supervised Neural Gas with General Similarity Measure
Neural Processing Letters
Recursive self-organizing network models
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Maximum Likelihood Topographic Map Formation
Neural Computation
Topographic map formation of factorized Edgeworth-expanded kernels
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Mixture density modeling, Kullback-Leibler divergence, and differential log-likelihood
Signal Processing - Special issue: Information theoretic signal processing
Magnification control for batch neural gas
Neurocomputing
KI '07 Proceedings of the 30th annual German conference on Advances in Artificial Intelligence
Patch clustering for massive data sets
Neurocomputing
Median Topographic Maps for Biomedical Data Sets
Similarity-Based Clustering
Probabilistic Self-Organizing Graphs
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Model-based clustering by probabilistic self-organizing maps
IEEE Transactions on Neural Networks
Multivariate Student-t self-organizing maps
Neural Networks
Batch linear manifold topographic map with regional dimensionality estimation
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Self-enhancement learning: self-supervised and target-creating learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Visualizing asymmetric proximities with SOM and MDS models
Neurocomputing
Self-organizing mixture models
Neurocomputing
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Directly optimizing topology-preserving maps with evolutionary algorithms
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Topographic mapping of large dissimilarity data sets
Neural Computation
Probabilistic self-organizing maps for qualitative data
Neural Networks
Probabilistic self-organizing maps for continuous data
IEEE Transactions on Neural Networks
Local matrix adaptation in topographic neural maps
Neurocomputing
Efficient pipelined architecture for competitive learning
Journal of Parallel and Distributed Computing
Topographic mapping of dissimilarity data
WSOM'11 Proceedings of the 8th international conference on Advances in self-organizing maps
Principles and methods of artificial immune system vaccination of learning systems
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
An experimental study on asymmetric self-organizing map
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
Integration of ant colony SOM and k-means for clustering analysis
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
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
Clustering very large dissimilarity data sets
ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition
Extending the SOM algorithm to visualize word relationships
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
Weighted topological clustering for categorical data
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
An efficient pipelined architecture for fast competitive learning
ICA3PP'10 Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part II
Self-Organizing Hidden Markov Model Map (SOHMMM)
Neural Networks
Imbalanced evolving self-organizing learning
Neurocomputing
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Self-organizing maps are popular algorithms for unsupervised learning and data visualization. Exploiting the link between vector quantization and mixture modeling, we derive expectation-maximization (EM) algorithms for self-organizing maps with and without missing values. We compare self-organizing maps with the elastic-net approach and explain why the former is better suited for the visualization of high-dimensional data. Several extensions and improvements are discussed. As an illustration we apply a self-organizing map based on a multinomial distribution to market basket analysis