1. A method for classification of data, comprising: providing first data from a physical process, the first data including a class label associated with attributes of the first data; deriving a dummy cluster from centroid coordinates of the first data associated with the class label; determining distance measures between the first data and a plurality of clusters which include the dummy cluster; creating a real cluster in the plurality of clusters if the first data is closest to the dummy cluster; identifying a closest match between second data and the plurality of clusters; and classifying the second data based on a class label of the closest match from the plurality of clusters.