JOURNAL ARTICLE

Self-organizing hierarchical feature maps

Abstract

The topological feature map (TFM) algorithm introduced by T. Kohenen (1982) implements two important properties: a vector quantization (VQ) and a topology-preserving mapping. A tree-structured TFM (TSTFM) is presented as a computationally inexpensive alternative to the TFM algorithm. The computational complexity of the TSTFM is O (log N ) rather than O ( N ) for the TFM. In addition, the TSTFM has some new properties that prove to be useful for VQ and in the context of visual perception: increased performance in VQ compared to the tree-structured VQ of A. Buzo et al. (1980) and hierarchical mapping of code vectors

Keywords:
Vector quantization Computer science Tree (set theory) Context (archaeology) Artificial intelligence Feature (linguistics) Algorithm Theoretical computer science Pattern recognition (psychology) Mathematics Combinatorics Biology

Metrics

226
Cited By
1.16
FWCI (Field Weighted Citation Impact)
7
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Remote-Sensing Image Classification
Physical Sciences →  Engineering →  Media Technology
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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