trinarizationExample: An artificial data set consisting of ten artificial feature...
In BiTrinA: Binarization and Trinarization of One-Dimensional Data
trinarizationExample R Documentation
An artificial data set consisting of ten artificial feature vectors.
Description
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).
Usage
data(trinarizationExample)
Format
The data is a matrix with 15 columns and 100 rows.
BiTrinA documentation built on Oct. 2, 2023, 5:07 p.m.
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| trinarizationExample | R Documentation |
An artificial data set consisting of ten artificial feature vectors.
Description
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).
Usage
data(trinarizationExample)Format
The data is a matrix with 15 columns and 100 rows.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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