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Finding input sub-spaces for Polymorphic Fuzzy Signatures

Hadad, Amir; Gedeon, Tamas (Tom); Mendis, B Sumudu


A significant feature of fuzzy signatures is its applicability for complex and sparse data. To create Polymorphic Fuzzy Signatures (PFS) for sparse data, sparse input sub-spaces (ISSs) should be considered. Finding the optimal ISSs manually is not a simple task as it is time consuming; moreover, some knowledge about the dataset is necessary. Fuzzy C-Means (FCM) clustering employed with a trapezoidal approximation method is needed to find ISSs automatically. Furthermore, dealing with sparse...[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Conference paper
Source: Proceedings of the 18th international conference on Fuzzy Systems
DOI: 10.1109/FUZZY.2009.5277055


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