Principal component analysis
Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative d...
Publications
4 shownLow-dimensional representation of faces in higher dimensions of the face space
Faces can be represented efficiently as a weighted linear combination of the eigenvectors of a covariance matrix of face images. It has also been shown [ J. Opt. Soc. Am.4, 519–...
Centroids
Abstract The concept of centroid is the multivariate equivalent of the mean. Just like the mean, the centroid of a cloud of points minimizes the sum of the squared distances fro...
Partial least squares regression and projection on latent structure regression (PLS Regression)
Abstract Partial least squares (PLS) regression ( a.k.a. projection on latent structures) is a recent technique that combines features from and generalizes principal component a...
Frequent Co-Authors
Researcher Info
- h-index
- 4
- Publications
- 4
- Citations
- 11,160
- Institution
- The University of Texas at Dallas
External Links
Identifiers
- ORCID
- 0000-0002-9522-1978
Impact Metrics
h-index
4
h-index: Number of publications with at least h citations each.