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Processing sets of classes’ logical regularitiesстатья
- Авторы: Gupal A., Novikov M., Ryazanov V.
- Журнал: Information Theories and Applications
- Том: 22
- Номер: 1
- Год издания: 2015
- Первая страница: 39
- Последняя страница: 49
- Аннотация: The paper considers two methods for processing se ts of logical regularities of classes (LRC) found by training samples analysis. The first appr oach is based on the mi nimization of logical descriptions of classes. As a result of solving the problem of linear discrete optimization, the shortest logic description of each class is found. Each traini ng object satisfies at l east to one LRC of found irreducible subset of logical regul arities. The second approach is bas ed on the clustering of the set of LRC and selecting standards of derived clusters. The clustering problem is reduced to the clustering of representations of LRC set. Here each LRC is repres ented in the form of binary vector with different informative weight. A modification of the known method of "variance crit erion minimization" for the case where the objects have different information weights is proposed. We present t he results of illustrative experiments.
- Добавил в систему: Врагова Елена Юрьевна