An Enhanced Technique for Database Clustering using an Extensive Data set for Multi-valued Attributes
Mugada Swathi, K Rani, Nitta Moni, Sudeep Chand, Mugada Swetha, Danthuluri Manisri Madhuri · 2013
This paper provides a way to deal with the presentation faults of the traditional linear file format for data sets from databases, especially in database clustering. A better approach called extensive data set that allow attributes of an object to have multiple values and it is shown how enhanced extensive data set can represent structural information in databases for clustering. Analyzing the problems of linear file format this extensive data set proves to be better. A unified similarity measure framework is proposed for single valued and multivalued attributes.