evaluation
PCA
Principal Component Analysis, a statistical technique that identifies the directions of maximum variance in high-dimensional data and projects it onto a lower-dimensional space. PCA is one of the most widely used dimensionality reduction methods.
In practice
PCA might reduce 100 correlated financial indicators to 10 principal components that capture 95% of the variance.