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Principal Component Analysis

Principal Component Analysis is a seriously mathematical technique for identifying the dimensionality of a data set and discovering underlying information.

It is used in calculations for the Matrix Data Analysis Chart (MDAC), which is one of the second seven tools.

 

See also:

MDAC, Second seven tools

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