between different classes. the noise level is relatively low and the clusters can provide satisfactory results regardless noise. Dur recent studies, using 32-sample templates and 5 different waveform classes embedded in typical neural recording noise, showed that more than 14 standard deviations of noise, perfect classification can be of each dimension is the same, elliptical distributions result only of the elliptical distributions and the lower the : of different classes are sufficiently apart, the Euclidean .distance of the covariance matrix of if the Euclidean distance between the means of the two closest clusters is

doi:10.4324/9781315806570-32

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between different classes. the noise level is relatively low and the clusters can provide satisfactory results regardless noise. Dur recent studies, using 32-sample templates and 5 different waveform classes embedded in typical neural recording noise, showed that more than 14 standard deviations of noise, perfect classification can be of each dimension is the same, elliptical distributions result only of the elliptical distributions and the lower the

Chapter

between different classes. the noise level is relatively low and the clusters can provide satisfactory results regardless noise. Dur recent studies, using 32-sample templates and 5 different waveform classes embedded in typical neural recording noise, showed that more than 14 standard deviations of noise, perfect classification can be of each dimension is the same, elliptical distributions result only of the elliptical distributions and the lower the

DOI link for between different classes. the noise level is relatively low and the clusters can provide satisfactory results regardless noise. Dur recent studies, using 32-sample templates and 5 different waveform classes embedded in typical neural recording noise, showed that more than 14 standard deviations of noise, perfect classification can be of each dimension is the same, elliptical distributions result only of the elliptical distributions and the lower the

between different classes. the noise level is relatively low and the clusters can provide satisfactory results regardless noise. Dur recent studies, using 32-sample templates and 5 different waveform classes embedded in typical neural recording noise, showed that more than 14 standard deviations of noise, perfect classification can be of each dimension is the same, elliptical distributions result only of the elliptical distributions and the lower the

of different classes are sufficiently apart, the Euclidean .distance of the covariance matrix of if the Euclidean distance between the means of the two closest clusters is

BookRethinking Neural Networks

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Edition 1st Edition

First Published 1993

Imprint Psychology Press

Pages 1

eBook ISBN 9781315806570

ABSTRACT

between different classes. If the noise level is relatively low and the

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