Hi Christian. Some clustering algorithm (for example KMeans and MiniBatchKMeans) provide a "predict" function, which you can use to label new data. Not all algorithms support this as there is not always an obvious way to assign labels to new points (for example I don't know of any using mean-shift). Best, Andy
Am 09.11.2012 15:46, schrieb Christian: > Hi, > > after fitting a clusterer I'll label new data. Is there an easier way > instead of building an ex-post classifier. > > Many thanks > Christian > > > example in weka: > #Building the clusterer and save the object in cluster.cla > java -cp weka.jar weka.clusterers.EM -t data0.arff -d cluster.cla > > === Clustering stats for training data === > > Clustered Instances > 0 90 ( 12%) > 1 174 ( 23%) > 2 204 ( 27%) > 3 1 ( 0%) > 4 143 ( 19%) > 5 35 ( 5%) > 6 121 ( 16%) > > #Based on custer.cla I could label new data with: > java -cp weka.jar weka.clusterers.EM -T data1.arff -l cluster.cla -p 0 > 0 1 > 1 4 > 2 1 > 3 4 > 4 0 > 5 4 > 6 4 > 7 5 > 8 0 > 9 6 > > > > > > > > > > > ------------------------------------------------------------------------------ > Everyone hates slow websites. So do we. > Make your web apps faster with AppDynamics > Download AppDynamics Lite for free today: > http://p.sf.net/sfu/appdyn_d2d_nov > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_nov _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
