Introduction to Introduction to Sensory Data Analysis - Camo
Introduction to Introduction to Sensory Data Analysis - Camo
Introduction to Introduction to Sensory Data Analysis - Camo
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4. Principal Component <strong>Analysis</strong>: PCA / a) Theory<br />
<strong>Data</strong> preprocessing before PCA<br />
• In practice, there is often a need <strong>to</strong> slightly modify<br />
the shape of the data <strong>to</strong> better suit an analysis.<br />
•Such a modification is called preprocessing or<br />
pretreatment. (centering, scalling, derivative...)<br />
•But when we use a trained panel it is not necessary