Review Paper on Evaluation and Modification i...

Review Paper on Evaluation and Modification in Partition based Clustering Technique

Author Name : Sandeep Ladwal, Amita Dhankhar

More and more efforts have been done to improve scalability of partition based algorithms, which can be applied to a variety of databases of different sizes, in effective and efficient manner. Effective means the good quality clusters are produced while efficient means clusters are producing in optimal time. But only a few efforts have been done to improve partition based algorithms which produce good clusters automatically. In the real world there exists restriction upon the user knowledge of number of cluster to be generated especially when it is being done first time on any repository system. Once we have known number of clusters we can generate clusters next time easily from our repository. The proposed work has provided a methodology for creating data clusters automatically without knowing the number of clusters in advance, which is scalable, effective and efficient also.