STABILITY OF THE OBJECTS OF CLASSES AND GROUPING THE FEATURES
Keywords:
stability of objects, latent features, clustering, generalized estimation, hidden regularities.Abstract
It is considering a problem of selection a new feature space in recognition problems with teacher. For formation the space uses division the set of initial features into previously unknown number of disjoint groups. Extremum of the criterion of grouping is calculated by the stability values of each object in its class on the set of features in the group. Displaying such a set to the numerical axis represents the values of the latent feature in the description of admissible objects. it is proved that the offered method of grouping forms a monotone sequence of latent features ordered in the relation of informativeness. Transition into the new space of the latent features allows significantly expand opportunities to find a hidden regularities from the databases.
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