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Zhang et al., 2007 - Google Patents

Color clustering using self-organizing maps

Zhang et al., 2007

Document ID
16637305913029512297
Author
Zhang X
Chen J
Dong J
Publication year
Publication venue
2007 International Conference on Wavelet Analysis and Pattern Recognition

External Links

Snippet

The Self-Organizing Map (SOM) is a powerful tool for exploratory data analysis which has been employed in a wide range of color clustering. SOM, which is an unsupervised neural network mapping a set of n-dimensional vectors to a two-dimensional topographic map, can …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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