Analysis and prediction of hierarchical clusters by self-organizing fractoids

Аuthors

Semenov A. S.

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

Abstract

. To implement the subsystems of planning operations of the spacecraft, located at a considerable distance from the earth one method of analysis and information forecasting by hierarchical clustering and model of the spacecraft behavior based on self-similar (fractal) patterns is introduced. This allows us to significantly increase the speed of information processing. We consider an algorithm for hierarchical clustering which are synchronized with the behavior model of the spacecraft. Generalization of behavior is self-organizing model called fractoid.

Keywords:

planning, hierarchical cluster, the fractal pattern; fractoid; self-organizing fractoid.

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