All entries by author "Paul L. M. Geladi"

Articles per year:

Title	Author(s)	Year	Tags
Principal component analysis	Wold, Esbensen and Geladi	1987	PCA tutorial
Multi-way principal components- and PLS-analysis	Wold, Geladi, Esbensen and Öhman	1987	calibration HPLC multiway PCA PLS tutorial
Partial least-squares regression: a tutorial	Geladi and Kowalski	1986	PLS regression tutorial
Multivariate data analysis: converting chemical data tables to plots	Wold, Albano, Dunn III, Esbensen, Geladi, Hellberg, Johansson, Lindberg, Sjöström, Skagerberg, Wikström and Öhman	1989	calibration classification graphical QSAR
A PLS kernel algorithm for data sets with many variables and fewer objects. Part 1: Theory and algorithm	Rännar, Lindgren, Geladi and Wold	1994	kernel method large data
A PLS kernel algorithm for data sets with many variables and few objects. Part II: Cross-validation, missing data and examples	Rännar, Geladi, Lindgren and Wold	1995	cross validation expectation maximization kernel method large data missing data
The kernel algorithm for PLS	Lindgren, Geladi and Wold	1993	image kernel method large data
Kernel-based PLS regression; cross-validation and applications to spectral data	Lindgren, Geladi and Wold	1994	application cross validation image kernel method
Principles of proper validation: use and abuse of re-sampling for validation	Esbensen and Geladi	2010	cross validation resampling
Notes on the history and nature of partial least squares (PLS) modelling	Geladi	1988	path models PLS
Scatter plotting in multivariate data analysis	Geladi, Manley and Lestander	2003	biplot plots visualization
Principal component analysis of multivariate images	Geladi, Isaksson, Lindqvist, Wold and Esbensen	1989	image PCA
Image analysis in chemistry I. Properties of images, greylevel operations, the multivariate image	Geladi, Bengtsson, Esbensen and Grahn	1992	image
Image analysis in chemistry II. Multivariate image analysis	Geladi, Grahn, Esbensen and Bengtsson	1992	image
Image analysis and chemical information in images	Geladi, Wold and Esbensen	1986	image regression texture
Strategy of multivariate image analysis (MIA)	Esbensen and Geladi	1989	image theory
Techniques and Applications of Hyperspectral Image Analysis	Grahn and Geladi	2007	hyperspectral image
Multivariate Image Analysis	Geladi and Grahn	1997	hyperspectral image
Analysis of multi-way (multi-mode) data	Geladi	1989	multiway