Metacluster Model Using an Aggregate Function In The Presence Of Data Domain Membership

摘要

Once with the exponential increase of data generated by the business environment, the need of rapid, precise and robust algorithms appeared in data analysis. The improvements given by database technologies, computatio nal performances and artificial intelligence have contributed to the development of intelligent data analysis. The principal clustering methods are presented in comparison. A technique for object grouping validation generated by the clustering methods is proposed and applied on a dataset a priori classified according to their domain membership. Metaclustering is introduced as an aggregation method for more clustering techniques in order to improve the performances of the clustering process in terms of results' correctness