Bayes Classifier in Multidimensional Data Classification
نویسندگان
چکیده
This paper deals with the classification of objects into the limited number of classes. Objects are characterised by n-features, e.g. n-dimensional vectors describe them. The paper focuses on the Bayes classifier based on the probability principle, with the fixed number of the features during classification process. Bayes classifier, which uses criterion of the minimum error was applied on the set of the multispectral data. They represent real images of the Earth surface obtained from remote Earth sensing. The paper describes experience and results obtained during the classification of extensive set of these multispectral data and analysis of influence of dispersions and mean values of features on classification results.
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