Self-Organizing Maps and Learning Vector Quantization forFeature Sequences
Neural Processing Letters
Random projection in dimensionality reduction: applications to image and text data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Self-Organizing Maps
How to make large self-organizing maps for nonvectorial data
Neural Networks - New developments in self-organizing maps
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Visualization of online-game players based on their action behaviors
International Journal of Computer Games Technology - Networking for Computer Games
Clustering Hierarchical Data Using Self-Organizing Map: A Graph-Theoretical Approach
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
Selecting and Improving System Call Models for Anomaly Detection
DIMVA '09 Proceedings of the 6th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment
A self-organizing map for transactional data and the related categorical domain
Applied Soft Computing
Normalised LCS-based method for indexing multidimensional data cube
International Journal of Intelligent Information and Database Systems
Self-Organizing Hidden Markov Model Map (SOHMMM)
Neural Networks
Clustering with Proximity Graphs: Exact and Efficient Algorithms
International Journal of Knowledge-Based Organizations
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In this work an online algorithm is presented for the construction of the self-organizing map (SOM) of symbol strings. Each node of the SOM grid is associated with a model string which is a variable-vector sequence. Smooth interpolation method is applied in the training which performs simultaneous adaptation of the symbol content and the length of the model string. The efficiency of the method is demonstrated by the clustering of a 100,000-word English dictionary.