Understanding Patterns with Different Subspace Classification
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By identifying characteristic regions in which classes are dense and also relevant for discrimination a new, intuitive classification method is set up. This method enables a visualized result so the user is provided with an insight into the data with respect to discrimination for an easy interpretation. Additionally, it outperforms Decision trees in a lot of situations and is robust against outliers and missing values.
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