Dynamic cell structure learns perfectly topology preserving map
Neural Computation
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Self-Organizing Maps
Hierarchical Growing Cell Structures: TreeGCS
IEEE Transactions on Knowledge and Data Engineering
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
The Evolving Tree—A Novel Self-Organizing Network for Data Analysis
Neural Processing Letters
Defect image classification and retrieval with MPEG-7 descriptors
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Competitive neural trees for pattern classification
IEEE Transactions on Neural Networks
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Analyzing large image databases is an interesting problem that has many applications. The entire problem is very broad and contains difficult subproblems dealing with image analysis, feature selection, database management, and so on. In this paper we deal with efficient clustering and indexing of large feature vector sets. Our main tool is the Evolving Tree, an unsupervised, hierarchical, tree-shaped neural network. It has been designed to facilitate efficient analysis and searches of large data sets. Comparison to other similar methods show a favorable performance for the Evolving Tree.