Silke Peterek

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A novel approach to feature selection from unlabeled vector data is presented. It is based on the reconstruction of original data relationships in an auxiliary space with either weighted or omitted features. Feature weighting, on one hand, is related to the return forces of factors in a parametric data similarity measure as response to disturbance of their(More)
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