Y. Vodovotz et al., PRINCIPAL COMPONENT SIMILARITY ANALYSIS FOR CLASSIFICATION AND ITS APPLICATION TO GC DATA OF MANGO, Food research international, 26(5), 1993, pp. 355-363
As a method for classification, principal component similarity (PCS) a
nalysis reported previously was modified. It was found by using model
computation that PCS was easy to use to interpret the result of discri
mination, especially when purposes of classification were not clearly
defined in advance (unsupervised). A portable, low-cost headspace gas
chromatograph (GC) was used for routine analysis of volatile compounds
recovered from mango samples. PCS could classify the mango samples ba
sed on cultivars which were ripened in storage and on the tree. PCS wa
s, as a result, found to be useful in processing the obtained GC data
for crude classification, preliminary to detailed analysis, e.g. stepw
ise discriminant analysis.