_________ is a statistical method used for dimensionality reduction and pattern recognition.
- K-Means Clustering
- Linear Regression
- Principal Component Analysis (PCA)
- Support Vector Machine (SVM)
Principal Component Analysis (PCA) is indeed a statistical method commonly used for reducing the dimensionality of data while preserving important information, making it useful for pattern recognition tasks. PCA identifies patterns and relationships in data by transforming it into a new coordinate system.
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