search for: murtuzabohra88

Hello sir, You have interpreted correctly that clustering will be done by generating the ring around the Document(i.e. the basic idea of LSI). But it is not like increasing the radius and the next shell will be another cluster, Rather it would pick one document (based on relevance score) and form a ring around it to cluster the document, then from the remaining documents(not in the cluster but

You mean, to take review on proposal I need to create an application? and if it is the case then please tell me how to create application? On Tue, Mar 22, 2016 at 6:24 PM, James Aylett <james-xapian at tartarus.org> wrote: > On Tue, Mar 22, 2016 at 12:49:58PM +0530, MURTUZA BOHRA wrote: > > > I have prepared a draft proposal for clustering problem. If you have > >

Sir, I have prepared a draft proposal for clustering problem. If you have previous year's accepted proposal please share it, that would be very helpful. And also I have attached my proposal, please review it. Thanks On Mon, Mar 21, 2016 at 7:10 PM, James Aylett <james-xapian at tartarus.org> wrote: > On Sun, Mar 20, 2016 at 11:39:37PM +0530, MURTUZA BOHRA wrote: > > >

sir, Till now I was confident enough to handle this project in the summer but the only thing which I had a little concern was the algorithm that I proposed. The thing is previously while writing the proposal I did not read much research papers on clustering, just the few I read and an idea strike to me and I wrote the proposal and discussed with you. But for last few days I was searching for the

Hello sir! Thank you for your gentle reply, I have visited to the github repository before but the code was not commented properly still I am trying to understand and figure out the redundant task in the algorithm by reading the code. For the same I asked you if there is any other document or information is available with you which can help me to understand it better would be great. It's okay

I am interested in clustering of search results idea, I know clustering techniques from the perspective of Machine learning! And I am figuring out the way to implement machine learning technique for clustering search result. I had 5-month back a project on LSI(latent simantic indexing and raking the search result) through that if I am given the TF-IDF matrix then clustering can be done quickly and

I am still trying to find some faster clustering technique for search result. One technique which strike to me is, using the Latent Semantic Indexing for Clustering the search result can give better results. In which we don't even need to iterate over different values of 'k'(in K-means algorithm) to cluster documents rather we can cluster whole search result in one go. How Latent