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https://issues.apache.org/jira/browse/MAHOUT-20?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12587223#action_12587223
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Samee Zahur commented on MAHOUT-20:
-----------------------------------
some of the fuctions like add or distance seem to be iterating through each
dimention in the point in a conventional loop:
for(int i=0;i<z.cardinality();i++) ......
something like this. but in a high dimentional input, this seems to be
cancelling out most of the advantages gained by the use of SparseVector. I mean
we are not taking advantage of the sparseness of the input data and looping
through all the elements in all cases. One possible alternative might be to add
a sort of iterator mechanism in the Vector interface. That would only visit
non-null elements.
Samee
> Migrate Canopy and KMeans Implementations to Vectors
> ----------------------------------------------------
>
> Key: MAHOUT-20
> URL: https://issues.apache.org/jira/browse/MAHOUT-20
> Project: Mahout
> Issue Type: Task
> Components: Clustering
> Affects Versions: 0.1
> Reporter: Jeff Eastman
> Assignee: Isabel Drost
> Attachments: vectorClustering.txt
>
>
> Canopy and KMeans clustering implementations use Float[] representations
> instead of the new Vector package. They need to be migrated and the Vector
> package may need some enhancement to support the notion of payloads. This
> would be a good project for somebody new to the project who wants to get
> involved. If somebody wants to implement this, just assign the issue to
> yourself and I will hold off doing it myself.
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