How to use image processing in multidimensional?
The main goal of image processing and statics is to explain a technique, called principal component analysis, used to analyze such multivariate data.
Principal components analysis
Principal components analysis can be applied to any data that consists of list of measurement made on a collections of objects or individuals. For instance, considered a chemical process that produces a plastic material.
To monitor the process, 300 samples are taken of the material producers coma and each sample is subjected to a battery of 8 test, such as melting point density ductility, tensile strength and so on. The laboratory report for each sample is a vector in R power 8 and the set of such vectors form and 8 x 300 Matrix called matrix of observations. We can say that process control data .
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