Introducing streaming k-means in Spark 1.2

“A key advantage of Spark is that its machine learning library (MLlib) and its library for stream processing (Spark Streaming) are built on the same core architecture for distributed analytics. This facilitates adding extensions that leverage and combine components in novel ways without reinventing the wheel. We have been developing a family of streaming machine learning algorithms in Spark within MLlib. In this post we describe streaming k-means clustering, included in the recently released Spark 1.2…”

http://databricks.com/blog/2015/01/28/introducing-streaming-k-means-in-spark-1-2.html

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