Публікація: On-line robust fuzzy clustering based on similarity measure
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2013
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Анотація
The problem offuzzy adaptive on-line clustering of data distorted by outliers sequentially supplied to the processing when the original sample volume and the number of distorted observations are unknown is considered. The probabilistic and possibilistic clustering algorithms for such data, that are based on the similarity measure of a special kind that weakens or overwhelming outliers are proposed.
Опис
Ключові слова
Computational and artificial intelligence, fuzzy neural networks, machine learning, multy-layer neural network
Бібліографічний опис
Ye. Bodyanskiy, A. Shafronenko. On-line robust fuzzy clustering based on similarity measure.Системные технологии. 6(89). 2013. с.11-20.