SEARCHThe View from Eigenvector
EigenNews and EigenViews from Barry and the Eigenvector staff.
EVRI-thing You Need to Know About Performing PLS-DA
Mar 25, 2020
An introduction to classification with Partial Least Squares Discriminant Analysis and a demonstration of how it works on a Metabolomics data set and a hyper-spectral image using PLS_Toolbox and MIA_Toolbox in MATLAB® or using Solo+MIA. See the following pages for more information on calculating class assignment probabilities and specific prediction rules. Demo data used in […]
EVRI-thing You Need to Know about ASCA
Feb 26, 2020
Introduction to ANOVA Simultaneous Component Analysis (ASCA) with PLS_Toolbox presented by: Prof. Morten Arendt Rasmussen University of Copenhagen Department of Food Science Chemometrics and Analytical Technology Demo Data (NIR on Bread Staling): http://www.models.life.ku.dk/node/474 Table of Contents 00:00 – Introduction and Outline 02:12 – Example: Bread – Design of Experiment 06:10 – ANOVA 15:57 – ASCA […]
Webinar Hierarchical Model Builder
Jan 27, 2020
Create Multivariate Decision Trees with the Hierarchical Model Builder Eigenvector’s Technology Principal Dr. Bob Roginski demonstrates the Hierarchical Model Builder (HMB) that allows users to construct decision trees to apply the appropriate regression or classification models to a data stream. Use the HMB graphical interface to create a decision tree structure Specify different types of […]
Robust PLS for Automatically Detecting Outliers
Dec 11, 2019
Eigenvector President, Barry M. discusses the Robust Partial Least Squares regression that was used to clean up the data set before using the Model Optimizer in the previous webinar. Table of Contents 00:00 – Introduction 00:33 – Example: NIR Shootout Data 09:38 – Resources Try it yourself. Get a free demo of Solo (or PLS_Toolbox) […]
Webinar EVRIthing You Need to Know about the Model Optimizer
Dec 10, 2019
Eigenvector President, Barry M. Wise will highlight EVRI’s Model Optimizer that allows you to automate model building and evaluation. Quickly evaluate multiple models with dozens of different preprocessing sets Sort models by cross-validation or calibration error for ease of comparison Apply models to separate validation test sets Test and evaluate multiple variable and calibration sample […]
Webinar EVRI-thing You Need to Know about Hyperspectral Image Analysis with PCA
Oct 3, 2019
Eigenvector President, Barry M. Wise will break down everything you need to know about Hyperspectral Image Analysis with Principal Components Analysis (PCA). A brief review of sources of multivariate images and tools for viewing and investigating them EVRI-Thing You Need to Know about Hyperspectral Image Analysis with PCA An opportunity to ask questions of our […]
PCA on Wine Data
Dec 14, 2018
Nonlinear Methods 5 (Summary)
Dec 14, 2018
Nonlinear Methods 4 (Support Vector Machines)
Dec 14, 2018
Nonlinear Methods 3 (Locally Weighted Regression)
Dec 14, 2018
Nonlinear Methods 2 (Polytransform/MLR)
Dec 14, 2018
Nonlinear Methods 1 (Introduction/MLR)
Dec 14, 2018
Advanced Preprocessing 5 (GLS in regression)
Dec 14, 2018
Advanced Preprocessing 4 (External Clutter)
Dec 14, 2018
Advanced Preprocessing 3 (EPO in classification)
Dec 14, 2018
Advanced Preprocessing 2 (GLS in classification)
Dec 14, 2018
Advanced Preprocessing 1 (Introduction)
Dec 14, 2018
Robust PCA
Dec 14, 2018
Batch Modeling Tools – Introduction
Dec 14, 2018
Drag and Drop From Matlab Workspace
Dec 14, 2018
