Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Neural Networks
Temporal Kohonen Map and the Recurrent Self-Organizing Map: Analytical and Experimental Comparison
Neural Processing Letters
Self-Organizing Maps
Clustering based on conditional distributions in an auxiliary space
Neural Computation
A Recurrent Self-Organizing Map for Temporal Sequence Processing
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Recursive self-organizing maps
Neural Networks - New developments in self-organizing maps
Recursive self-organizing network models
Neural Networks - 2004 Special issue: New developments in self-organizing systems
A self-organizing map for adaptive processing of structured data
IEEE Transactions on Neural Networks
`Neural-gas' network for vector quantization and its application to time-series prediction
IEEE Transactions on Neural Networks
Dynamics and Topographic Organization of Recursive Self-Organizing Maps
Neural Computation
A Novel Architecture for the Classification and Visualization of Sequential Data
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Graph self-organizing maps for cyclic and unbounded graphs
Neurocomputing
Visualization of Structured Data via Generative Probabilistic Modeling
Similarity-Based Clustering
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
Gamma SOM for Temporal Sequence Processing
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
Generalized Self-Organizing Mixture Autoregressive Model
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
Clustering: A neural network approach
Neural Networks
Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Recurrent Neural Networks as Local Models for Time Series Prediction
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Gamma-filter self-organizing neural networks for time series analysis
WSOM'11 Proceedings of the 8th international conference on Advances in self-organizing maps
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
Time series relevance determination through a topology-constrained hidden markov model
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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
Decomposing the global financial crisis: A Self-Organizing Time Map
Pattern Recognition Letters
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The recent merging self-organizing map (MSOM) for unsupervised sequence processing constitutes a fast, intuitive, and powerful unsupervised learning model. In this paper, we investigate its theoretical and practical properties. Particular focus is put on the context established by the self-organizing MSOM, and theoretic results on the representation capabilities and the MSOM training dynamic are presented. For practical studies, the context model is combined with the neural gas vector quantizer to obtain merging neural gas (MNG) for temporal data. The suitability of MNG is demonstrated by experiments with artificial and real-world sequences with one- and multi-dimensional inputs from discrete and continuous domains.