Hi, I wish to cluster a set of textual documents into undefined number of classes. The clustering algorithm provided in MLlib i.e. K-means requires me to give a pre-defined number of classes.
Is there any algorithm which is intelligent enough to identify how many classes should be made based on the input documents. I want to utilize the speed and agility of Spark in the process. Thanks, Jatin ----- Novice Big Data Programmer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Clustering-text-data-with-MLlib-tp20883.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
