Principal component similarity analysis for classification and its application to GC data of mango

@inproceedings{Vodovotz1993PrincipalCS,
  title={Principal component similarity analysis for classification and its application to GC data of mango},
  author={Yael Vodovotz and Guillermo E Arteaga and Shoichiro Nakai},
  year={1993}
}
Abstract As a method for classification, principal component similarity (PCS) analysis reported previously was modified. It was found by using model computation that PCS was easy to use to interpret the result of discrimination, 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… CONTINUE READING