Titlebook: Data Mining in Biomedicine; Panos M. Pardalos,Vladimir L. Boginski,Alkis Vazac Book 2007 Springer-Verlag US 2007 Biomedicine.Clustering.ST

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Anirudh Dasarathy,Ronnie Sircare application of our method to the transposed system .. = .... utilizing the sparseness of the mixing matrix . in appropriate situations. We note that the sparseness conditions could be obtained with some preprocessing methods and no independence conditions for the source signals are imposed (in con

palliate

Peter Billen,Tilmann Raff,Craig ThorroldTo judge the performance of SVM, two other methods, K-nearest neighbor (KNN) and Linear Discriminant Analysis (LDA) are implemented. The Implementation of Multi-class SVM used one-against-one method and one-against-all method. The results show that SVM outperforms KNN and LDA. The advantage of SVM i

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Hippocampus

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