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# To run this example use
# ./bin/spark-submit examples/src/main/r/ml/powerIterationClustering.R

# Load SparkR library into your R session
library(SparkR)

# Initialize SparkSession
sparkR.session(appName = "SparkR-ML-powerIterationCLustering-example")

# $example on$
df <- createDataFrame(list(list(0L, 1L, 1.0), list(0L, 2L, 1.0),
                           list(1L, 2L, 1.0), list(3L, 4L, 1.0),
                           list(4L, 0L, 0.1)),
                      schema = c("src", "dst", "weight"))
# assign clusters
clusters <- spark.assignClusters(df, k = 2L, maxIter = 20L,
                                 initMode = "degree", weightCol = "weight")

showDF(arrange(clusters, clusters$id))
# $example off$

sparkR.session.stop()