auto detects k centers for k-means and generates the initial center seeds.

canopy {clustering}

R Documentation

auto detects k centers for k-means and generates the initial center seeds.

Description

Usage

canopy(x,
    T1 = NaN,
    T2 = NaN,
    seed = TRUE);

Arguments

[as double]

seed

use the canopy method as kmeans seed or just used for clustering? set this parameter to value true means used the result as seed, then a seed object of type CanopySeeds will be generated from this function. otherwise parameter value false means the result is a collection of the Cluster result, you can convert the cluster result to a dataframe via as.data.frame method. [as boolean]

env

[as Environment]

Details

value of `T1` should greater than `T2`, example as:

 T1 = 8 and T2 = 4

Authors

MLkit

Value

this function returns data object of type any kind.

clr value class

any kind

[Package clustering version 1.0.0.0 Index]