I have used PCA and Mahalanobis distance to find outliers. But in both cases, only the highest or lowest values are detected as outliers. I am looking for a way that any data point that does not follow a certain correlation between output and 3 inputs can be identified as an outlier.
How to find outliers in multivariate data with weak covariance
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