ARTICLE
TITLE

ADAPTIVE CLUSTERING WITH MISSING VALUES

SUMMARY

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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COLLECTIONS
Computing
Technology

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