A Survey on Different Clustering Algorithms
Abstract
Fast relevant informational retrieval from the database is a significant issue. There are so many different techniques to address this issue. Here clustering is one of the technique for fast information retrieval. This paper focuses on the study of different constraints that are applied to the data sets to cluster the data. In brief overview we discuss the Partitioning, Hierarchical, Density Based, Grid Based and Model Based clustering algorithms with their constraints.