Stochastic Outlier Selection (SOS).

Updated May 5, 2026

Short answer

Uses affinity and perplexity to compute anomaly probability[cite: 1].

Deep explanation

Similar to t-SNE, it computes the probability that a point has any other point as its neighbor. Outliers have very low total affinity[cite: 1].

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