Is there other comments about this issue?
2013/5/2 Shannon Quinn <squ...@gatech.edu> > This sounds excellent. I'd be happy to assist in unifying the interfaces > of the spectral methods in particular. > > > On 5/2/13 3:54 PM, Yu Lee (JIRA) wrote: > >> [ https://issues.apache.org/**jira/browse/MAHOUT-1177?page=** >> com.atlassian.jira.plugin.**system.issuetabpanels:comment-** >> tabpanel&focusedCommentId=**13647841#comment-13647841<https://issues.apache.org/jira/browse/MAHOUT-1177?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13647841#comment-13647841>] >> >> Yu Lee commented on MAHOUT-1177: >> ------------------------------**-- >> >> Hello Robin Anil, Jeff Eastman, Dan Filimon, and Ted Dunning, >> >> Yexi and I (Yu Lee) are new to this Mahout community. We want to >> contribute to the improvement of Mahout by reforming and simplifying the >> clustering APIs per the following link: >> https://issues.apache.org/**jira/browse/MAHOUT-1177?page=** >> com.atlassian.jira.plugin.**system.issuetabpanels:comment-** >> tabpanel&focusedCommentId=**13644120#comment-13644120<https://issues.apache.org/jira/browse/MAHOUT-1177?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13644120#comment-13644120> >> >> We have gone through the code of Mahout clustering. Now we have some >> ideas about improving it: >> >> ==============================**==============================** >> ============================= >> Addressing the problems in the current interface: >> >> Testing cases are missing. For example, in spectral kmeans clustering, >> the run methods of SpectralKmeansDriver and EigencutsDriver are not tested >> >> Documentations are missing for some methods. For example: in the run >> method of DirichletDriver, the description of parameter 'numModels' is >> missing; in the run method of SpectralKmeansDriver, the description of some >> arguments are missing >> >> Some testing methods do not contain the specific description of some >> arguments. For example: in the run method of FuzzyKmeansDriver, the >> description of an argument of "m" (fuzzification factor) is missing. >> Although a wiki link regarding "Clustering Analysis" is given, it is not >> clear enough. >> >> ------------------------------**------------------------------** >> ----------------------------- >> >> Implementing some new clustering algorithms >> >> Agglomerative hierarchical clustering, which will cluster the data points >> into a dendragram, so that user could indicate whatever number of clusters >> as they want. >> (http://en.wikipedia.org/wiki/**Hierarchical_clustering<http://en.wikipedia.org/wiki/Hierarchical_clustering> >> ) >> >> Dbscan, which is a density based clustering method being able to identify >> clusters with arbitrary shapes, and is useful in spatial clustering. ( >> http://en.wikipedia.org/wiki/**DBSCAN<http://en.wikipedia.org/wiki/DBSCAN> >> ) >> >> ------------------------------**------------------------------** >> ----------------------------- >> >> Providing a new unified interface >> >> Currently, each clustering algorithm has its own implemented class with >> different interfaces (i.e., run methods in different Drivers have different >> argument list). However, it is better to have a unified interface to >> execute all available clustering methods, and an example interface is as >> follows: >> >> Clustering-run(input, output, methodClass,clusteringConfig) >> >> Here, the "methodClass" indicates a specific clustering method, while >> "clusteringConfig" indicates the configuration for this specific clustering >> method. >> >> ==============================**==============================** >> ============================= >> >> Could you please let us know what you think about our ideas? >> >> >> >> >>> GSOC 2013: Reform and simplify the clustering APIs >>> ------------------------------**-------------------- >>> >>> Key: MAHOUT-1177 >>> URL: https://issues.apache.org/** >>> jira/browse/MAHOUT-1177<https://issues.apache.org/jira/browse/MAHOUT-1177> >>> Project: Mahout >>> Issue Type: Improvement >>> Reporter: Dan Filimon >>> Labels: gsoc2013, mentor >>> >>> Clustering is one of the most used features in Mahout and has many >>> applications [http://en.wikipedia.org/wiki/** >>> Cluster_analysis#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 <http://www.atlassian.com/software/jira> >> > > -- ------ Yexi Jiang, ECS 251, yjian...@cs.fiu.edu School of Computer and Information Science, Florida International University Homepage: http://users.cis.fiu.edu/~yjian004/
