Research effectiveness of features for the vascular pathologies diagnosis
Автор: Ilyasova Natalya, Paringer Rustam
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Рубрика: Перспективные информационные технологии
Статья в выпуске: 2-5 т.17, 2015 года.
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A method of filtering the source data using clustering algorithm, to improve the quality of discriminant analysis of sample data, was proposed. To improve the quality of diagnostics we propose an algorithm for the informative features formation, using methods of discriminant analysis. As integral indicators of fundus vessels, a global set of geometric features was used. It is a complete characterization for vascular disease diagnosis.
Кластеризация методом k-средних, classification of the vessels images, filtering features, k-means clustering, linear discriminant analysis, separability criterion
Короткий адрес: https://sciup.org/148203694
IDR: 148203694
