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Highlights from
discrim

• confmat(c, d) CONFMAT Confusion matrix.
• crossval(rule, X, k, v) CROSSVAL K-fold cross validation.
• mahalanobis(X, Mu, C) MAHALANOBIS Mahalanobis distance.
• mcnemar(k, a, b) MCNEMAR McNemar's test for comparison of error rates.
• parseopt(opt, varargin) PARSEOPT Get values from fields of option struct.
• plotdr(f, varargin) PLOTDR Plot decision regions for classifier object.
• plotobs(X, k) PLOTOBS Scatter plot of observation classes
• classifier(X, k, prior) CLASSIFIER Generic discriminant analysis object.
• lda(X, k, prior, est, nu) LDA Linear Discriminant Analysis.
• logda(X, k, prior, maxit, est) LOGDA Logistic Discriminant Analysis.
• qda(X, k, prior, est, nu) QDA Quadratic Descriminant Analysis.
• softmax(X, k, prior, varargin) SOFTMAX Multinomial feed-forward neural-network
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