Re: Streaming K-medoids
Erik, Thank you for your answer. It seems really good, but unfortunately I'm not very familiar with Scala, so I have partly understood. Could you please explain your idea with Spark implementation? Best regards, Marko On Mon 01 Jun 2015 06:35:17 PM CEST, Erik Erlandson wrote: I haven't given any thought to streaming it, but in case it's useful I do have a k-medoids implementation for Spark: http://silex.freevariable.com/latest/api/#com.redhat.et.silex.cluster.KMedoids Also a blog post about multi-threading it: http://erikerlandson.github.io/blog/2015/05/06/parallel-k-medoids-using-scala-parseq/ - Original Message - Hello everyone, I have an idea and I would like to get a validation from community about it. In Mahout there is an implementation of Streaming K-means. I'm interested in your opinion would it make sense to make a similar implementation of Streaming K-medoids? K-medoids has even bigger problems than K-means because it's not scalable, but can be useful in some cases (e.g. It allows more sophisticated distance measures). What is your opinion about such an approach? Does anyone see problems with it? Best regards, Marko - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Streaming K-medoids
Hello everyone, I have an idea and I would like to get a validation from community about it. In Mahout there is an implementation of Streaming K-means. I'm interested in your opinion would it make sense to make a similar implementation of Streaming K-medoids? K-medoids has even bigger problems than K-means because it's not scalable, but can be useful in some cases (e.g. It allows more sophisticated distance measures). What is your opinion about such an approach? Does anyone see problems with it? Best regards, Marko - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: Streaming K-medoids
I haven't given any thought to streaming it, but in case it's useful I do have a k-medoids implementation for Spark: http://silex.freevariable.com/latest/api/#com.redhat.et.silex.cluster.KMedoids Also a blog post about multi-threading it: http://erikerlandson.github.io/blog/2015/05/06/parallel-k-medoids-using-scala-parseq/ - Original Message - Hello everyone, I have an idea and I would like to get a validation from community about it. In Mahout there is an implementation of Streaming K-means. I'm interested in your opinion would it make sense to make a similar implementation of Streaming K-medoids? K-medoids has even bigger problems than K-means because it's not scalable, but can be useful in some cases (e.g. It allows more sophisticated distance measures). What is your opinion about such an approach? Does anyone see problems with it? Best regards, Marko - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
