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Related Questions
- What are some common statistical methods used to detect outliers, and how do they differ from each other?
- How can outliers affect the performance of machine learning models, and what are some strategies to mitigate their impact?
- What are some common data preprocessing techniques used to handle outliers, and when should they be applied?
- How can outliers in a dataset be visualized, and what are some common visualization techniques used to identify them?
- What are some common pitfalls to avoid when using distance-based methods to detect outliers, such as k-nearest neighbors or density-based spatial clustering of applications with noise?
- How can outliers in a high-dimensional dataset be detected, and what are some common techniques used to reduce dimensionality?
- What are some common applications of outlier detection in real-world scenarios, such as fraud detection or quality control?
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