ADAPTIVE CLUSTERING WITH MISSING VALUES

Authors

  • A. U. Shafronenko
  • V. V. Volkova
  • E. V. Bodianskiy

DOI:

https://doi.org/10.15588/1607-3274-2011-2-20

Keywords:

adaptive neural network system, the restoration of gaps, clustering.

Abstract

In this paper the adaptive neural network system that solves the clustering problem of data with gaps is proposed. This system allows to process the data in the on-line mode with a constant correction of recoverable table’s elements and centers of clusters. A proposed neural system has high speed and simple numerical realization.

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Published

2012-01-11

How to Cite

Shafronenko, A. U., Volkova, V. V., & Bodianskiy, E. V. (2012). ADAPTIVE CLUSTERING WITH MISSING VALUES. Radio Electronics, Computer Science, Control, (2). https://doi.org/10.15588/1607-3274-2011-2-20

Issue

No. 2 (2011): Radio Electronics, Computer Science, Control

Section

Neuroinformatics and intelligent systems

License

Copyright (c) 2014 A. U. Shafronenko, V. V. Volkova, E. V. Bodianskiy

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