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	Klasifikátor založený na inverzních hodnotách indexů II. teorie a příloha Jiřina, Marcel ; Jiřina jr., M. A theory of a new method for the classification of data into classes is presented. The method is based on the sum of reciprocals of neighbors' indexes. We show that neighbors' indexes are in close relation to the approximate polynomial transform of the neighbors' distances. The sum of the reciprocals of indexes for all neighbors forms truncated harmonic series due to a finite number of its elements. For the neighbors of one class there is a sum of the selected elements of this truncated series. It is proved that the ratio of these sums gives just the probability that the point to be classified - the query point - is of that class. Fulltext: content.csg - PDF Plný tet: v1041-08 - PDF Detailed record
	Klasifikátor založený na inverzních hodnotách indexů Jiřina, Marcel ; Jiřina jr., M. A new method for the classification of data into classes is presented. The method is based on the sum of reciprocals of neighbors' indexes. We show that neighbors' indexes are in close relation to the polynomial transform of the neighbors' distances. The sum of the reciprocals of indexes for all neighbors forms truncated harmonic series due to a finite number of its elements. For the neighbors of one class there is a sum of the selected elements of this truncated series. It is proved that the ratio of these sums gives just the probability that the point to be classified -- the query point -- is of that class. The classification ability is demonstrated on real-life data from the Machine Learning Repository and the results are compared with published results obtained through other methods. Fulltext: content.csg - PDF Plný tet: v1034-08 - PDF Detailed record
	Decomposition of Correlation Integral to Local Functions Jiřina, Marcel ; Jiřina jr., M. Fulltext: content.csg - PDF Plný tet: v1025-08 - PDF Detailed record

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