Clustering features

Select clustering characteristic to form the clustering data

cl.features(data, features = NULL, amounts = NULL, aggregate = "sum", tojson = FALSE )

Arguments

data	The input data
features	The clustering features
amounts	The amount measures of the dataset
aggregate	The function to aggregate
tojson	If TRUE the results are returned in json format, default returns a list

Value

This function returns the dataset for cluster analysis adapted to the desired features.

Details

This function adapts the dataset according to the selected dimension of the dataset and the aggregation function.

See also

cl.analysis

Examples

cl.features(city_data, features = 'Administrative_Unit')
#> Error in as.data.frame(data): object 'city_data' not found

# works also for other datasets
cl.features(iris, features = 'Species')
#>      Species Sepal.Length Sepal.Width Petal.Length Petal.Width
#> 1     setosa        250.3       171.4         73.1        12.3
#> 2 versicolor        296.8       138.5        213.0        66.3
#> 3  virginica        329.4       148.7        277.6       101.3