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Sean Owen commented on MAHOUT-384: ---------------------------------- What do others think of 'outlier' -- is this a concept on the level of 'clustering' or 'classification' or can we taxonomize it better. You can use Hadoop 0.20.2 (I do) but I suggest for consistency with the code and compatibility with AWS and to avoid bugs you not use the newer Hadoop APIs. > Implement of AVF algorithm > -------------------------- > > Key: MAHOUT-384 > URL: https://issues.apache.org/jira/browse/MAHOUT-384 > Project: Mahout > Issue Type: New Feature > Components: Collaborative Filtering > Reporter: tony cui > Attachments: mahout-384.patch > > > This program realize a outlier detection algorithm called avf, which is kind > of > Fast Parallel Outlier Detection for Categorical Datasets using Mapreduce and > introduced by this paper : > http://thepublicgrid.org/papers/koufakou_wcci_08.pdf > Following is an example how to run this program under haodoop: > $hadoop jar programName.jar avfDriver inputData interTempData outputData > The output data contains ordered avfValue in the first column, followed by > original input data. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.