I have few clustering algorithms tuned having 5 cluster. I want 6th cluster if new data does not belong initial 5 cluster fall in 6th cluster.
6th cluster [ say other category] consist of all data point which does not belong to 5 cluster.
P.S.:- initial whatever data is give is belong those 5 cluster. so say, kmean algorithms with number cluster as 5. during inference I wanted add 6th cluster so any which does belong given cluster can put this category depending on threshold distance. I have textual data. do let me which clustering algorithms i should go with dbscan, som etc..