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
