[ https://issues.apache.org/jira/browse/MAHOUT-1177?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sebastian Schelter updated MAHOUT-1177: --------------------------------------- Fix Version/s: Backlog > GSOC 2013: Reform and simplify the clustering APIs > -------------------------------------------------- > > Key: MAHOUT-1177 > URL: https://issues.apache.org/jira/browse/MAHOUT-1177 > Project: Mahout > Issue Type: Improvement > Reporter: Dan Filimon > Labels: gsoc2013, mentor > Fix For: Backlog > > > Clustering is one of the most used features in Mahout and has many > applications [http://en.wikipedia.org/wiki/Cluster_analysis#Applications]. > We have of lots clustering algorithms. There's: > - basic k-means > - canopy clustering > - Dirichlet clustering > - Fuzzy k-means > - Spectral k-means > - Streaming k-means [coming soon] > We want to make them easier to use by updating the APIs and make sure they > all work in the same way have consistent inputs, outputs, diagnostics and > documentation. > This is a great way to gain an in-depth understanding of clustering > algorithms, familiarize yourself with Hadoop, Mahout clustering and good > software engineering principles. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira