Clustering is one of the most important method in data mining. Clustering a huge data set is difficult and time taking process. In this scenario a new method proposed that is based on Rough Entropy for improving efficiency of clustering and labeling the unlabeled data points in clusters. Data Labeling is a simple process in numerical domain but not in categorical domain. Why because distance is a...
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.