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Spectral clustering (SC) has been used with success in the field of computer vision for data clustering. In this paper, a new algorithm named SC ensemble (SCE) is proposed for the segmentation of synthetic aperture radar (SAR) images. The gray-level cooccurrence matrix-based statistic features and the energy features from the undecimated wavelet decomposition extracted for each pixel being the input,...
A new clustering approach namely immune spectral clustering algorithm (ISCA) is proposed in this paper. It combines spectral clustering with immune algorithm for data clustering. In this algorithm, making use of the dimension reduction ability of the spectral clustering algorithm, an immune clonal clustering algorithm is used to cluster the data points in the mapping space. Because we can get tight...
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