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Title Informational Extreme Cluster Analysis of Input Data
Authors Yefimenko, Tetiana Mykhailivna
Korobchenko, Olena Vladyslavivna
Keywords інформаційно-екстремальна інтелектуальна технологія
информационно-экстремальная интеллектуальная технология
information-extreme intelligent technology
кластерний аналіз
кластерный анализ
cluster analysis
навчання
обучение
training
оптимізація
оптимизация
optimization
система підтримки прийняття рішень
система поддержки принятия решений
decision support system
K-засоби кластеризації
K-средства кластеризации
K-means clustering
правила прийняття рішень
правила принятия решений
decision rules
Type Conference Papers
Date of Issue 2016
URI http://essuir.sumdu.edu.ua/handle/123456789/47076
Publisher Sumy State University
License
Citation Yefimenko,T.M. Informational Extreme Cluster Analysis of Input Data [Текст] /T.M. Yefimenko, O.V. Korobchenko // Advanced Information Systems and Technologies: proceedings of the IV international scientific conference, May 25-27, 2016 / Ред.кол.: С.І. Проценко, В.В. Шендрик, С.М. Ващенко. – Sumy: Sumy State University, 2016. – С. 98-99. – Мова оригіналу - українська.
Abstract The categorical model and decision support system learning algorithm are considered in the article. Proposed algorithm allows to create decision support system, which is functioning in a clusteranalysis state. Synthesis of the decision support system is based on maximization of informational system ability due to making additional information restrictions in the learning process.
Appears in Collections: Наукові видання (ЕлІТ)

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