Description
Contains such paradigms as clustering, factorial analysis, parametric and nonparametric statistics, association rule, feature selection, construction algorithms. Mine data and analyze either real or synthetic data. Use existing mining methods or create your own ones. As a SIPINA successor, it implements learning algorithms and interactive and visual construction of decision trees.
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