Advanced Preprocessing

Course Description

The objective of data preprocessing is to remove extraneous variance and anomalies and is often the critical step in development of a successful multivariate calibration or classification scheme. Advanced Preprocessing starts with a brief review of basic preprocessing then delves into more advanced topics such as multiplicative scatter correction, extended multiplicative scatter correction, and generalized least squares-like weighting. The objectives of preprocessing with respect to modeling are considered, along with the potential for creating artifacts and how to minimize them. The course includes hands-on computer time for participants to work example problems using PLS_Toolbox, EMSC_Toolbox, and MATLAB.

Prerequisites

MATLAB for Chemometricians and Chemometrics II--Regression and PLS or equivalent experience.

Advanced Preprocessing Course Outline

Matrix Rank and the Bilinear Model
Preprocessing Objectives
Mean- and Median-centering, Autoscaling
Normalization and Standard Normal Variate Scaling
Scaling for Multi-block data
Savitsky-Golay and Filtering
Orthogonal Signal Correction
Generalized Least Squares Weighting
Multiplicative Scatter Correction
Extended Multiplicative Scatter Correction

Go to Registration Page

Return to EigenU Page

Eigenvector Research, Inc., 3905 West Eaglerock Drive, Wenatchee, WA 98801
B.M. Wise, bmw@eigenvector.com, Phone: 509.662.9213, Fax: 509.662.9214
N.B. Gallagher, nealg@eigenvector.com, Phone: 509.687.1039, Fax: 509.687.2033