## A Method for the Selection of Variables for Classification of High-dimensional Data |

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### Contents

The Orthant Procedure | 7 |

Further Properties | 58 |

Computer Program Listing 8998 | 89 |

1 other sections not shown

### Common terms and phrases

9 Dimension A's and B's abcissa assign asymptotic B-category Bayes rule behavior bias categorical variables Column Comparison correctly classified points correlation Cover and Hart Denote discrimination procedure Doctor of Philosophy equiangular line equivalent blocks procedure error split point example Fisher linear discriminant FORMAT Gessaman and Gessaman given orthant half-line indicated individual INTEGER large number linear discriminant p.c.c. Mahalanobis distance matrix maximum mean vector minimum error split multivariate normal nearest neighbor procedure nearest neighbor rule number of A's number of errors number of variables observations order statistics orthant proce orthant procedure achieves orthant procedure p.c.c. p-vector p.c.c. estimate p.c.c. ratio parameterization parameters partitioning Patrick Suppes probability content random variable ratio of p.c.c.'s sample space Section 2.3 sequence of labels simulations statistically equivalent blocks stepwise orthant procedure stepwise regression stepwise selection subset Table test set p.c.c. thant theorem true p.c.c. Unequal Covariance Matrices univariate values variables selected