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The classical fuzzy system modeling methods only consider the current scene where the training data are assumed fully collectable. However, if the available data from that scene are insufficient, the fuzzy systems trained will suffer from weak generalization for the modeling task in this scene. In order to overcome this problem, a fuzzy system with knowledge-leverage capability, which is known as...
Mean shift spectral clustering (MSSC) brings us an alternative for image segmentation. However, owing to being based on the classical Parzen window estimator (PW) and employing the full data sample for density estimation, the usefulness of MSSC is weakened. In this paper, the improved mean shift spectral clustering (IMSSC) algorithm is proposed by replacing PW with the reduced set density estimator...
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