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Re: [mahout] labels in clustering algorythms - Mahout - [mail # user]
...Yuriy,  Take a look at https://github.com/tdunning/knn to see some upcoming k-means stuff that may help you out with respect to speed.  On Sat, Apr 28, 2012 at 11:19 AM, Юрий Басов...
   Author: Ted Dunning, 2012-04-28, 19:50
Re: Clustering : Number of Reducers - Mahout - [mail # user]
...With potentially 5 million clusters, I would suggest a multi-pass hierarchical approach where you cluster the data and then sub-cluster the larger clusters.  On Tue, Sep 20, 2011 at 12...
   Author: Ted Dunning, 2011-09-20, 21:20
Re: Cluster: find medoid & its n nearest elements - Mahout - [mail # user]
...There isn't a clever way to find the medoid in Mahout.  Finding the n nearest elements can be done using a Searcher.  The Brute implementation should suffice.  On Thu, Dec 6, ...
   Author: Ted Dunning, 2012-12-07, 12:27
Re: Clustering : Number of Reducers - Mahout - [mail # user]
...On Sun, Sep 18, 2011 at 11:02 PM, Paritosh Ranjan  wrote:   No.  It means that in most clustering algorithms the combiners do enough work that the reducers have relatively little to do. ...
   Author: Ted Dunning, 2011-09-19, 05:17
Re: some new clustering code - Mahout - [mail # dev]
... of maxClusters was intended to play to the strength of this kind of 1-pass algorithm which is to find a lot of clusters that characterize the data well.  The desired application is in nearest...
... neighbor search were we want to see thousands to hundreds of thousands of clusters, but I wanted to make sure that users didn't accidentally get bad results by specifying that they wanted 10...
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   Author: Ted Dunning, 2012-04-06, 20:50
Re: Clustering Data - Mahout - [mail # user]
...OK.  This is more of a kind of time series analysis even if the horizontal axis isn't time.  You need to extract features from these graphs before doing clustering.  Something like extreme...
   Author: Ted Dunning, 2011-08-16, 18:18
Re: Clustering Data - Mahout - [mail # user]
... can noodle around with all the clustering algorithms in the world, select one and port it into Java or find an implementation.  And if you don't describe your problem in a bit more detail, we...
... can't help you.  Clustering specifically and machine learning in general is domain dependent.  Your graphs don't explain what your data is, what your are trying to do, what results you expect...
   Author: Ted Dunning, 2011-08-15, 15:08
Re: Clustering Data - Mahout - [mail # user]
...I don't think that you need a solver for this.  Just compute the smoothed derivatives at all points and then extract features from the rank statistics of the ensemble of all values. &nb...
   Author: Ted Dunning, 2011-08-17, 14:29
Re: Evaluation of different recommendation algorithms for 12.000 user data set - Mahout - [mail # user]
...Filtering recommendations lists is incredibly important.  What you are doing is pretty straightforward with post-processing of the recommended list.  Other things that I often reco...
   Author: Ted Dunning, 2011-11-21, 18:08
Re: Evaluation of different recommendation algorithms for 12.000 user data set - Mahout - [mail # user]
...Your product is subject to seasonality constraints (which teas are likely right now) and repeat buying.  I would separate out the recommendation of repeat buys from the separation of ne...
   Author: Ted Dunning, 2011-11-21, 15:20
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