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A new method combined PCA (Principal Component Analysis) with SOM (Self-Organizing Maps) neural network is presented for clustering analysis of gene expression data. Firstly, the principal components are extracted from the genetic data set by PCA, in order to get a low dimensional data set. These principal components with lower dimension can basically express comprehensive information of original...
The SOMMR nonlinear blind source separation (BSS) method is proposed for speckle noise suppression and water objects extracting from synthetic aperture radar (SAR) imagery based on self-organizing maps (SOM) neural networks and morphological reconstruction (MR). The multiplicative speckle noise and image data are separated from multipolarimetric imagery by means of SOM neural networks. Morphological...
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