User:Javedresearch

We have developed Seven Novel Techniques related to Clustering, Attribute Weight Selection and Cluster Evaluation. Brief information on each technique is as follows. 	Seed-Detective: A Novel Clustering Technique Using High Quality Seed for K-Means on Categorical and Numerical Attributes (Published in a ERA Rank B conference: AusDM2011) 	CRUDAW-F: A Novel Fuzzy C-Means Clustering Technique (Published in a ERA Rank B conference: AusDM2013) 	CRUDAW-H: A Novel Hard K-Means Clustering(Under Review in Knowledge-Based Systems, ERA Rank B and Web of Science Rank Q1) 	AWST: Our Novel Attribute Weight Selection Technique (Under Review in Knowledge-Based Systems, ERA Rank B and Web of Science Rank Q1) 	A Novel Genetic based Clustering Technique(Under preparation for ERA Rank B conference: AI2013/AusDM2013) 	GenClust: A Novel Genetic Algorithm based Clustering Technique with a Novel Fitness Function (Under preparation for ERA Rank A* Journal: IEEE Transactions on Evolutionary Computation) 	A Novel Cluster Evaluation Criteria(Under preparation for ERA Rank A* Journal: IEEE Transactions on Evolutionary Computation)