explore: explore data for clustering

Description Usage Examples

Description

explore data to detect whether it can be splited into proper clusters and find which variables can be used to cluster

Usage

1
explore(formula, data, classifier = = c("randomForest", "ranger"), control = NULL)

Examples

1
2
3
4
5
6
7
8
9
data(iris)
iris1 <- iris[iris$Species == "versicolor",1:4]
e1 <- explore(~., iris1, "randomForest")
summary(e1) # there are no clusters in the data
plot(e1)

e2 <- explore(~., iris[,1:4], "ranger")
summary(e2)
plot(e2)

evanwang1990/ClusterTools documentation built on May 16, 2019, 9:37 a.m.