Results 291 to 300 of about 2,229,496 (344)
Some of the next articles are maybe not open access.
A generalization of the principal component analysis
2007A nonlinear generalization of the principal component analysis (PCA) is made under normality. It is shown that this generalized PCA problem leads to an eigenvalue problem for the Hadamard products of the correlation matrix. In the framework of the generalized PCA, the result is applied to the problem of finding square-integrable continuous ...
Kariya Takeaki +2 more
openaire +1 more source
Encyclopedia of Personality and Individual Differences, 2020
S. Hilbert, M. Bühner
semanticscholar +1 more source
S. Hilbert, M. Bühner
semanticscholar +1 more source
Principal components analysis corrects for stratification in genome-wide association studies
Nature Genetics, 2006A. Price +5 more
semanticscholar +1 more source
Journal of Personality and Social Psychology, 1988
R. Raskin, H. Terry
semanticscholar +1 more source
R. Raskin, H. Terry
semanticscholar +1 more source
A Discussion of Principal Component Analysis
Journal of Analytical Toxicology, 1985H, van der Voet, J P, Franke
openaire +2 more sources
2012
Among linear DR methods, principal component analysis (PCA) perhaps is the most important one. In linear DR, the dissimilarity of two points in a data set is defined by the Euclidean distance between them, and correspondingly, the similarity is described by their inner product.
openaire +2 more sources
Among linear DR methods, principal component analysis (PCA) perhaps is the most important one. In linear DR, the dissimilarity of two points in a data set is defined by the Euclidean distance between them, and correspondingly, the similarity is described by their inner product.
openaire +2 more sources
Principal components analysis and track quality index: A machine learning approach
Transportation Research Part C: Emerging Technologies, 2018A. Lasisi, N. Attoh-Okine
semanticscholar +1 more source