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I use RRCF to detect anomalies in a streaming 6-dimensional dataset where prices for 6 related products come in all the time. Since their distribution is not stationary but have a trend (due to inflation, the prices for products are going up) - would it be a good idea to scale the data to [0, 1] before applying the algorithm?
The text was updated successfully, but these errors were encountered:
I use RRCF to detect anomalies in a streaming 6-dimensional dataset where prices for 6 related products come in all the time. Since their distribution is not stationary but have a trend (due to inflation, the prices for products are going up) - would it be a good idea to scale the data to [0, 1] before applying the algorithm?
The text was updated successfully, but these errors were encountered: