What are the different methods for outlier detection?
An example of an AI chatbot conversation about outlier detection methods.
What are the different methods for outlier detection?
There are several methods for outlier detection, including statistical tests, clustering, and machine learning techniques.
Can you explain the statistical methods in more detail?
Sure! Statistical methods often involve techniques like Z-scores, IQR (Interquartile Range), and Grubbs' test to identify outliers.
What about machine learning methods?
Machine learning methods include algorithms like Isolation Forest, One-Class SVM, and Autoencoders, which can learn patterns in data.
How do I choose the right method for my data?
Choosing the right method depends on your data's characteristics, the context of your analysis, and the specific goals you have.
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