This article describes the using of various clustering methods for in-depth analysis and further researches of the spread of the virus COVID-19 in Italy during February-April 2020.
The article describes the method of cost-sensitive classification for imbalanced dataset based on neural-like structure of successive geometric transformations model using piecewise-linear approach to classification. The proposed method characterized by high learning speed and accuracy of classification.
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