GMMartificialData: Example data an artificial Gaussioan mixture.
In opdisDownsampling: Optimal Distribution Preserving Down-Sampling of Bio-Medical Data
Description
Usage
Details
Examples
Description
Dataset of 30000 instances with 10 variables that are Gaussian mixtures and belong to classes Cls = 1, 2, or 3, with different means and standard deviations and equal weights of 0.5, 0.4, and 0.1, respectively.
Usage
1
data("GMMartificialData")
Details
Size 30000 x 10, stored in GMMartificialData$[X1,X2,X3,X4,X5,X6,X7,X8,X9,X10]
Classes 3, stored in GMMartificialData$Cls
Examples
1
2
opdisDownsampling documentation built on June 17, 2021, 5:08 p.m.
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Description Usage Details Examples
Description
Dataset of 30000 instances with 10 variables that are Gaussian mixtures and belong to classes Cls = 1, 2, or 3, with different means and standard deviations and equal weights of 0.5, 0.4, and 0.1, respectively.
Usage
1 | data("GMMartificialData")
|
Details
Size 30000 x 10, stored in GMMartificialData$[X1,X2,X3,X4,X5,X6,X7,X8,X9,X10]
Classes 3, stored in GMMartificialData$Cls
Examples
1 2 |
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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