Encoding Categorical Data for Outlier Detection
Towards Data Science
The article discusses the limitations of one-hot encoding for categorical data in outlier detection tasks and explores alternative encoding methods. It highlights how different encoding techniques can better preserve the structure of categorical variables for identifying anomalies.
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