Implementing k-means using H2O over Spark

In this recipe, we'll look at how to run a k-means clustering algorithm on a dataset of figures concerning prostate cancer. Please download the dataset from This is prostate cancer data that came from a study that examined the correlation between the level of prostate-specific antigen and a number of other clinical measures in men.

Getting ready

To step through this recipe, you will need a running Spark Cluster in any one of the following modes: Local, standalone, YARN, Mesos. Include the Spark MLlib package in the build.sbt file so that it downloads the related libraries and the API can be used. Install Hadoop (optionally), Scala, and Java. ...

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