A Linear-Discriminant-Analysis-Based Approach to Enhance the Performance of Fuzzy C-Means Clustering in Spike Sorting with Low-SNR Data
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Spike sorting is of prime importance in neurophysiology and hence has received considerable attention. However, conventional methods suffer from the degradation of clustering results in the presence of high levels of noise contamination. This paper presents a scheme for taking advantage of automatic clustering and enhancing the feature extraction efficiency, especially for low-SNR spike data. This is a pdf version of an article which originally appeared in International Journals of Biometric and Bioinformatics, Volume (1) : Issue (1). Less
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