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Enhanced neural gas network for prototype-based clustering

✍ Scribed by A.K. Qin; P.N. Suganthan


Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
380 KB
Volume
38
Category
Article
ISSN
0031-3203

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## Abstract This paper explores a novel neural network‐based nonlinear filter that has the ability to remove mixed noises and sharpen the edges in noise‐corrupted digital images. The noise is assumed to be a mixture of both Gaussian and impulse types. Initially, a nonlinear filter is used to reduce