Question: For analysis of anomaly detection by using isolation forest select the coorrect statement below Isloation forest is clustering method, soi it could be replaced by

For analysis of anomaly detection by using isolation forest select the coorrect statement below
Isloation forest is clustering method, soi it could be replaced by kmeans
Isloation forest returns the value and higher means higher chance of being a anomaly
Isloation forest would still work if you tiome series data is not stationary
Isloation forest could work with parameter searching method to find out the best model with the object function on error metrics such as accuracy

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