January 2001
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440 Reads
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50,103 Citations
Machine Learning
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Citations (1)
... Dimensionality reduction techniques, such as Principal Component Analysis (PCA), reduce the number of variables in a dataset while keeping as much information as possible, assisting in processing high-dimensional data or preprocessing before applying supervised learning (Bishop and Nasrabadi 2006). Unsupervised learning is also employed in anomaly detection to identify rare items, events, or observations that don't match the rest of the data, making it valuable in fraud detection, network security, and industrial fault detection (Breiman 2001). Unsupervised learning is valuable when the goal is to explore the data and find hidden patterns without having predefined labels. ...
- Citing Article
January 2001
Machine Learning