Małgorzata Charytanowicz

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Methods based on kernel density estimation have been successfully applied for various data mining techniques. Their natural interpretation together with consistency properties make them an attractive tool in clustering problems. In this paper, the complete gradient clustering algorithm, based on the density of the data, is presented. The proposed method has(More)
INTRODUCTION The aim of the study was to determine the content of cadmium (Cd), cobalt (Co) and nickel (Ni) in the samples from laryngeal carcinoma in comparison with the level of these elements in the samples of healthy mucous membrane from the same larynx. MATERIAL AND METHODS The study was conducted on 43 patients with laryngeal carcinoma. The levels(More)
This publication deals with the applicational aspects and possibilities of the Complete Gradient Clustering Algorithm – the classic procedure of Fukunaga and Hostetler, prepared to a ready-to-use state, by providing a full set of procedures for defining all functions and the values of parameters. Moreover, it describes how a possible change in those values(More)
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