Browsing School of Engineering and Sustainable Development by Subject "datasets dissimilarity"

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Down-sampled and Under-sampled Data sets in Feature Selective Validation (FSV)

Zhang, Gang; Wang, Lixin; Duffy, A. P.; Sasse, Hugh G.; Di Febo, D.; Orlandi, A.; Aniserowicz, Karol (Article)

Feature Selective Validation (FSV) is a heuristic method for quantifying the (dis)similarity of two data sets. The computational burden of obtaining the FSV values might be unnecessarily high if data sets with large numbers ...