"Cluster model for classification?"
Hello,
after reading some papers about Support Vector Clustering I tought this method is perfect for my type of work, but now it doesn't look like it.
I want to classify data as "normal" or "anormal", but only have "normal" labeled data for training. The thing i tried to do was to generate an SVC-model which contains one single cluster of normal data. After calculation i wanted to apply the generated clustermodel on the testing data which also contains anormal sets. I thought the model will calculate the affiliation to the normal-cluster, but it seems I am wrong. Is there any way to do this in RapidMiner beneath one class svm's?
Thx,
Harald
after reading some papers about Support Vector Clustering I tought this method is perfect for my type of work, but now it doesn't look like it.
I want to classify data as "normal" or "anormal", but only have "normal" labeled data for training. The thing i tried to do was to generate an SVC-model which contains one single cluster of normal data. After calculation i wanted to apply the generated clustermodel on the testing data which also contains anormal sets. I thought the model will calculate the affiliation to the normal-cluster, but it seems I am wrong. Is there any way to do this in RapidMiner beneath one class svm's?
Thx,
Harald