Fuzzy Clustering Data Arrays with Omitted Observations | Zendy

Zhengbing Hu | Zendy; Yevgeniy Bodyanskiy | Zendy; Oleksii K. Tyshchenko | Zendy; Віталій Ткачов | Zendy

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Fuzzy Clustering Data Arrays with Omitted Observations

Author(s) -

Zhengbing Hu,

Yevgeniy Bodyanskiy,

Oleksii K. Tyshchenko,

Віталій Ткачов

Publication year - 2017

Publication title -

international journal of intelligent systems and applications

Language(s) - English

Resource type - Journals

eISSN - 2074-9058

pISSN - 2074-904X

DOI - 10.5815/ijisa.2017.06.03

Subject(s) - computer science , cluster analysis , centroid , data mining , fuzzy clustering , table (database) , mode (computer interface) , process (computing) , artificial neural network , simple (philosophy) , fuzzy logic , artificial intelligence , algorithm , pattern recognition (psychology) , philosophy , epistemology , operating system

An adaptive neural system which solves a problem of clustering data with missing values in an online mode with a permanent correction of restorable table elements and clusters’ centroids is proposed in this article. The introduced neural system is characterized by both a high speed and a simple numerical implementation. It can process information in a real-time mode.

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