R: Fit a k-means model

spark.kmeans {SparkR}

R Documentation

Fit a k-means model

Description

Fit a k-means model, similarly to R's kmeans().

Usage

spark.kmeans(data, formula, ...)

## S4 method for signature 'SparkDataFrame,formula'
spark.kmeans(data, formula, k,
  maxIter = 10, initMode = c("random", "k-means||"))

Arguments

`data`	SparkDataFrame for training
`formula`	A symbolic description of the model to be fitted. Currently only a few formula operators are supported, including '~', '.', ':', '+', and '-'. Note that the response variable of formula is empty in spark.kmeans.
`k`	Number of centers
`maxIter`	Maximum iteration number
`initMode`	The initialization algorithm choosen to fit the model

Value

A fitted k-means model

Examples

## Not run: 
##D model <- spark.kmeans(data, ~ ., k=2, initMode="random")
## End(Not run)

[Package SparkR version 2.0.0 Index]