categorization: categorization
In AntoineDubois/RUMdesignSimulator: RUM design Simulator
Description
Usage
Arguments
Value
Examples
Description
The function which classify by k-means the values of each column
of X. Then, the values of each column is set to the center of its cluster.
Usage
1
categorization(X, nb_levels)
Arguments
X
The matrix data
np_levels
The vector of the number of clusters to build in each column.
Value
$clustered The cluster's average of each attribute of each alternative
$category The cluster's number of each attribute of each alternative
Examples
1
2
3
4
5
X <- matrix(rnorm(30), ncol=3)
nb_levels <- c(3, 2, 2)
X_clustered <- categorization(X, nb_levels)$clustered
X_category <- categorization(X, nb_levels)$category
X_clustered; X_category
AntoineDubois/RUMdesignSimulator documentation built on Dec. 17, 2021, 8:53 a.m.
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Description Usage Arguments Value Examples
Description
The function which classify by k-means the values of each column of X. Then, the values of each column is set to the center of its cluster.
Usage
1 | categorization(X, nb_levels)
|
Arguments
X |
The matrix data |
np_levels |
The vector of the number of clusters to build in each column. |
Value
$clustered The cluster's average of each attribute of each alternative $category The cluster's number of each attribute of each alternative
Examples
1 2 3 4 5 | X <- matrix(rnorm(30), ncol=3)
nb_levels <- c(3, 2, 2)
X_clustered <- categorization(X, nb_levels)$clustered
X_category <- categorization(X, nb_levels)$category
X_clustered; X_category
|
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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