Klasyfikacja pojęciowa danych symbolicznych w podejściu wielomodelowym
The ensemble conceptual clustering for symbolic data

Summary/Abstract: The main aim of the paper is to present a proposal of a new ensemble clustering for symbolic data with the application of conceptual learning which is applied as the base classifier. The paper presents basic terms of symbolic data, ensemble learning and conceptu-al clustering. In the empirical part the results of simulation study with artificial and real data sets are presented and compared.

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