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Nick Pentreath commented on SPARK-6000: --------------------------------------- Even though SPARK-14174 is later - it seems there is more discussion and a related PR there. I will close this as duplicate? > Batch K-Means clusters should support "mini-batch" updates > ---------------------------------------------------------- > > Key: SPARK-6000 > URL: https://issues.apache.org/jira/browse/SPARK-6000 > Project: Spark > Issue Type: Improvement > Components: MLlib > Affects Versions: 1.2.1 > Reporter: Derrick Burns > Priority: Minor > > One of the ways of improving the performance of the K-means clustering > algorithm is to sample the points on each round of the Lloyd's algorithm and > to only use those samples to update the cluster centers. (Note that this is > similar to the update algorithm of streaming K-means.) The Spark K-Means > clusterer should support the mini-batch algorithm for large data sets. > The K-Means implementation at > https://github.com/derrickburns/generalized-kmeans-clustering supports the > mini-batch algorithm. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org