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What is Spectral Methods For Outlier Detection in ML about?
The thesis discusses spectral methods for outlier detection in machine learning, highlighting the significance of identifying outliers as they provide valuable information. It presents a unified view of various spectral methods, such as PCA and Laplacian Eigenmaps, and proposes new algorithms that integrate these methods with traditional outlier detection techniques. The research demonstrates improved accuracy in outlier detection through the combination of spectral methods and evaluates the approach on mul
- Author
- arnavtripathi1306
- Language
- EN