Visual evaluation of outlier detection models
作者： Elke Achtert , Hans-Peter Kriegel , Lisa Reichert , Erich Schubert , Remigius Wojdanowski
DOI: 10.1007/978-3-642-12098-5_34
关键词:
摘要: Many outlier detection methods do not merely provide the decision for a single data object being or an outlier. Instead, many approaches give “outlier score” factor” indicating “how much” respective is Such scores differ widely in their range, contrast, and expressiveness between different models. Even one same model, score can indicate degree of “outlierness” sets regions characteristics set. Here, we demonstrate visualization tool based on unification that allows to compare evaluate visually even high dimensional data.
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