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A classification tool for N-way arrays based on SIMCA methodology

A classification tool for N-way arrays based on SIMCA methodology

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EVOO Data set<br />

N<strong>SIMCA</strong> analysis<br />

1514 GC-signals<br />

13 Training<br />

PRETREATMENT :<br />

LIGURIA<br />

9 Test set<br />

Autoscaling within the third mode<br />

EVOO samples<br />

FOREIGN<br />

17 Training<br />

12 Test<br />

• Centering across the first mode<br />

• Block-scaling within the sec<strong>on</strong>d mode<br />

12 Training<br />

APULIA<br />

10 Test<br />

random split in training and test sets <str<strong>on</strong>g>for</str<strong>on</strong>g><br />

each class<br />

exploratory single class data analysis<br />

(TUCKTEST) <str<strong>on</strong>g>for</str<strong>on</strong>g> choosing number of<br />

factors to explore<br />

TRICAP 2009<br />

Dr. Marina CocchiMORE chemometrics,<br />

Department of Chemistry-University of Modena

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