Image processing and statistics

 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.
Image processing and statistics

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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