Table 1: Classification results based on Krawtchouk moments for different principal components (PC). Abbreviations: linear discriminant analysis (LDA), naive Bayes linear discriminant analysis (N.B.LDA), quadratic discriminant analysis (QDA), naive Bayes quadratic discriminant analysis (N.B.QDA), and Fisher’s linear discriminant (FLDA).

PCCorrectly classified (%)
LDAN.B.LDAQDAN.B.QDAFLDA

171.071.064.564.571.0
271.074.258.164.574.2
364.567.767.758.167.7
464.564.574.271.064.5
564.564.574.264.564.5
661.364.57 7.4 64.561.3
767.774.274.267.771.0
871.074.274.267.771.0
961.374.271.067.761.3
1061.374.274.267.761.3
1158.167.771.067.758.1