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.
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1Can you clarify what you mean with "any data point that does not follow a certain correlation between output and 3 inputs can be identified as an outlier."? Also, the question may be better suited for https://stats.stackexchange.com/. – jfaccioni Sep 29 '21 at 19:24
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I have multivariate data (3 independent, 1 dependent variable). I am trying to define the outliers based on not only their values being very high or low, but rather the points not 'behaving' similar to other data points. I hope this makes it clearer. I will surely post this on stats.stackexchange! Thanks. – nothing to prove Sep 30 '21 at 02:45
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Please provide enough code so others can better understand or reproduce the problem. – Community Oct 07 '21 at 09:10