A simple tool that detects anomalies in data using principal component analysis
License: MIT License
A simple tool that detects outliers in data using principal component analysis. Provide it with a csv file containing one observation per row. It will create a scatterplot using PCA to help identify outliers in the data.
This is useful in order to sanity check datasets and to find any anomalies that might be worth investigating.
Find it here: adieyal.github.io/anomaly
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