Generating various flow fields using principal component analysis

This paper presents a comparison of methods for industrial on-line sensor calibration monitoring for redundant sensors. Principal component analysis (PCA) and independent component analysis (ICA) techniques are developed and compared using both ...

Principal component analysis (PCA) is an effective method of linear dimensional reduction. Because of its simplicity in theory and implementation, it is often used for analyses in various disciplines. However, because of its linearity, PCA is not always ...

13 kind of nationalities crowds’ data classification using hierarchical cluster(HC), rough sets(RS), principal component analysis(PCA) and its combination, the result shows: first, rough sets and principal component analysis can dimensionality reduction ...