Try it out with the Zoie <http://sna-projects.com/zoie/>. They claim it to be real time, even I am playing around with it.
Thanks, Sharath On Thu, Feb 24, 2011 at 9:04 AM, Lokendra Singh <[email protected]>wrote: > Hi all, > > I was looking for some ways to analyze/index the result ('clusteredPoints') > of k-means clustering. > My input testdata for clustering are the feature vectors extracted from a > dataset of images. > > Providing an analogy of my problem to Lucene text indexing: In an Image, if > 'n' feature vectors (image-points)) fall into one cluster, they are > considered similar and it can be considered as a same 'word/term' appearing > 'n' times in a text document. At the end, I want to generate TF-IDF vectors > for each image. > > Is Lucene well-suited for such a purpose? My idea is to create 'Document' > object for each image with its field "content" as the ClusterID's of the > clusters contained in it, although I am not sure if it is a good approach > since the "content" of the Document Objects (Cluster ID's) will have to be > updated continuously while iterating through the Sequence file contained > inside 'clusteredPoints' directory. > What are the other tools or ways which are generally used by users to > analyze/index a non-textual clustered data ? > > PS: Till now. I had been using the native data structures to analyse the > result of clustering but looking for some scalable tools to handle it > > Regards > Lokendra >
