FIELD: machine learning.
SUBSTANCE: method and device for classifying an object, as well as methods, devices and systems based on them. A computer-implemented method for classifying an object, comprising the steps of: receiving target object for classification using a receiving module, providing an index data structure based on the “small world” graph and containing representations in the metric space of a set of objects and references to the objects themselves using a processor and memory, selecting a set of edges from the multitude of edges of the graph, in which the source and destination vertices belong to different classes, the boundary between classes in the graph based on the selected set of edges, searching for the object assumed to be the closest to the target object.
EFFECT: increased speed of obtaining the result while maintaining high accuracy.
17 cl, 2 dwg
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