Feature extraction plays an important role in face recognition system as it can reduce dimensions and reserve the most significant features which need to be classified and recognized. Principal Component Analysis (PCA) has been one of the popular techniques that used in pattern recognition related research areas. Researches have been also carried out to improve the performance of this technique...

This study establishes the mathematical foundation for a fast incremental multilinear method which combines the traditional sequential Karhunen-Loeve (SKL) algorithm with the newly developed incremental modified fast Principal Component Analysis algorithm (IMFPCA). In accordance with the characteristics of the data structure, the proposed algorithm achieves both computational efficiency and hig...

In this report, we analyze a proposed incremental principal component analysis algorithm, complementary candid incremental PCA algorithm, and prove that, following this algorithm, the estimated vectors vi(n) converge to λiei when n →∞, with probability 1.

In 2008, several principal component analyses (PCAs) applied on Background. 660,918 single-nucleotide polymorphisms (SNPs) from 938 individuals from 51 worldwide populations of the Human Genome Diversity Panel were published by Li PCAs were applied on subsets of individuals sharing a common et al. geographic origin and showed that in several geographic regions, genome-wide variations of SNPs ...

In 2008, several principal component analyses (PCAs) applied on Background. 660,918 single-nucleotide polymorphisms (SNPs) from 938 individuals from 51 worldwide populations of the Human Genome Diversity Panel were published by Li PCAs were applied on subsets of individuals sharing a common et al. geographic origin and showed that in several geographic regions, genome-wide variations of SNPs ...

Exploratory Factor Analysis (EFA) and Principal Component Analysis (PCA) are popular techniques for simplifying presentation of, and investigating structure of, an (n×p) data matrix. However, these fundamentally different techniques are frequently confused, and the differences between them are obscured, because they give similar results in some practical cases. We therefore investigate conditio...