9.5. More Data Analysis Methods
9.5.1. Multivariate Analysis
Multivariate analysis is a set of techniques used for analysis of data sets that contain more than one variable, and the techniques are especially valuable when working with correlated variables. The techniques provide an empirical method for information extraction, regression, or classification; some of these techniques have been developed quite recently because they require the computational capacity of modern computers.
As a trivial example, say that you wanted to use impedance measurements to assess the quality or texture of the inside matter of an apple. One approach would be to develop an electrical model for the apple and figure out how texture differences depend on things such ...
Get Bioimpedance and Bioelectricity Basics, 3rd Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.