An artificial data set consisting of 100 artificial feature vectors that are used to illustrate the trinarization methods in the package vignette. Each row of the matrix `trinarizationExample`

corresponds to one feature vector, of which 5 measurements are drawn from a normal distribution N(0,1). The remaining 10 measurements are drawn from two normal distributions N(m,1), with `m=10:1`

and `m=seq(20,2,by=-2)`

(5 meansurements per distribution).

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The data is a matrix with 15 columns and 100 rows.

Binarize documentation built on May 30, 2017, 8:17 a.m.

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