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 values of smoothed second derivative might be useful. Spectral or cepstral features might be useful as well, but with so few data points, these probably devolve to something very much like the smoothed derivatives. On Tue, Aug 16, 2011 at 1:47 AM, Alexander Kerner < a.ker...@dkfz-heidelberg.de> wrote: > Hello Ted, > > thanks for your help! > > To give you more details: > Clustering in this case has something of pattern recognition: > > for the first graph, I am looking for following pattern: > > * * > * * > * * > > for the second graph, I basically want following "pattern": > > * * * * * * > > What I want to detect is now "overlaying" data or at a very basic point of > view just changes from expected pattern: > > e.g: > > first case: > > > * * * > * * * * > * > > should be clustered into two groups > > second case: > > * * * > * * * > > should also clustered into two groups. > > In general, I am working with very little datapoints ( 5 - 50). > > I hope this makes it a bit more clear. > > May thanks, > Alex > > > On 08/15/2011 05:08 PM, Ted Dunning wrote: > >> Well, weka still stands as an option. And frankly, you can call R from >> java >> pretty easily. >> >> But more importantly, *experimenting* with these alternatives doesn't need >> to be in Java. You 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 to get nor why you don't like the results you are >> getting. It is not obvious. >> >> I note that I asked essentially these same questions 10 days ago. >> >> On Sun, Aug 14, 2011 at 11:35 PM, Alexander Kerner< >> a.ker...@dkfz-heidelberg.de> wrote: >> >> Matlab or R is not an option, since I need to integrate this clustering >>> into an existing Java program. >>> >>> On 08/05/2011 06:02 PM, Jeff Eastman wrote: >>> >>> You may be better off experimenting with Weka (or MatLab or R) to try >>>> out >>>> various clustering algorithms on your data. Unless you have billions of >>>> points this sort of low-dimension clustering can all be done in memory >>>> and >>>> you don't need Mahout. >>>> >>>> >>>> -----Original Message----- >>>> From: Alexander Kerner >>>> [mailto:a.kerner@dkfz-**heidel**berg.de<http://heidelberg.de> >>>> <a.kerner@dkfz-**heidelberg.de <a.ker...@dkfz-heidelberg.de>> >>>> ] >>>> Sent: Friday, August 05, 2011 7:28 AM >>>> To: user@mahout.apache.org>> "user@mahout.apache.org" >>>> Subject: Re: Clustering Data >>>> >>>> Here is a link: >>>> >>>> Clustering >>>> data<http://kerner.cc/box.****tightening.challenges.png<http://kerner.cc/box.**tightening.challenges.png> >>>> <http**://kerner.cc/box.tightening.**challenges.png<http://kerner.cc/box.tightening.challenges.png> >>>> > >>>> >>>> On 08/05/2011 02:31 PM, Sean Owen wrote: >>>> >>>> (Attachments don't come through on apache.org<http://apache.org> >>>>> mailing lists. Can you post it elsewhere, or describe it?) >>>>> >>>>> On Fri, Aug 5, 2011 at 1:30 PM, Alexander Kerner >>>>> <a.ker...@dkfz-heidelberg.de<****mailto:a.kerner@dkfz-**heidel** >>>>> berg.de >>>>> <http://heidelberg.de><a.kerner@dkfz-**heidelberg.de<a.ker...@dkfz-heidelberg.de> >>>>> >>> >>>>> >>>>> wrote: >>>>> >>>>> Hi all, >>>>> >>>>> I would like to cluster following data (see attached picture) into >>>>> three >>>>> groups (light blue, dark blue, black). >>>>> Can I use Apache Mahout for this? I want to integrate clustering >>>>> within >>>>> my existing Java application. >>>>> What algorithm would I need to use and how do I set this up >>>>> programatically? >>>>> >>>>> Many thanks, >>>>> Alex >>>>> >>>>> >>>>> >>>>> >>>>> -- >>> Alexander Kerner >>> PhD Student >>> >>> Divison of Stem Cells and Cancer A010 >>> German Cancer Research Center, DKFZ >>> and >>> Heidelberg Institute for Stem Cell Technology >>> and Experimental Medicine >>> HI-STEM GmbH >>> >>> Neuenheimer Feld 280 >>> 69120 Heidelberg >>> >>> Tel.: +49(0)6221/42-3922 >>> Fax: +49(0)6221/42-3902 >>> >>> Email: a.ker...@dkfz-heidelberg.de >>> >>> >>> > -- > Alexander Kerner > PhD Student > > Divison of Stem Cells and Cancer A010 > German Cancer Research Center, DKFZ > and > Heidelberg Institute for Stem Cell Technology > and Experimental Medicine > HI-STEM GmbH > > Neuenheimer Feld 280 > 69120 Heidelberg > > Tel.: +49(0)6221/42-3922 > Fax: +49(0)6221/42-3902 > > Email: a.ker...@dkfz-heidelberg.de > >
