trinarizationExample: An artificial data set consisting of ten artificial feature...

Description Usage Format


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).




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

BiTrinA documentation built on May 1, 2019, 7:48 p.m.