Figure 1From: A kernel-based approach for detecting outliers of high-dimensional biological dataOutlier detection in a high feature space. Suppose that the red dot is a real outlier which is the farthest one from the majority of data. (a) in the original space, x1 is regarded as an outlier. (b) in the higher feature space, x2 is correctly detected as an outlier.Back to article page