initial_traditional: Initializes the clusters using the traditional approach.
In gabiborges1/kfact: Clustering Analysis in Categorical Data with Kfact
Description
Usage
Arguments
Value
Examples
Description
Initializes the clusters using the traditional approach.
Usage
1
Arguments
data
A dataframe.
k
A integer number.
Value
A dataframe containing k rows randomly selected from data.
Examples
1
2
3
data(mtcars)
k <- 3
initial_traditional(mtcars, k)
gabiborges1/kfact documentation built on May 12, 2019, 3:12 p.m.
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Description Usage Arguments Value Examples
Description
Initializes the clusters using the traditional approach.
Usage
1 |
Arguments
data |
A dataframe. |
k |
A integer number. |
Value
A dataframe containing k rows randomly selected from data.
Examples
1 2 3 | data(mtcars)
k <- 3
initial_traditional(mtcars, k)
|
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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