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examples/applications/plot_outlier_detection_housing.py
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able to focus on the main mode of the data distribution, it sticks to the
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assumption that the data should be Gaussian distributed, yielding some biased
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estimation of the data structure, but yet accurate to some extent.
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-The One-Class SVM algorithm
+The One-Class SVM does not assume any parametric form of the data distribution
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+and can therefore model the complex shape of the data much better.
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First example
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