Different Clustering Algorithms in Data Mining

Abstract

Clustering is the grouping together of similar data items into clusters. Clustering analysis is one of the main analytical methods in data mining; the method of clustering algorithm will influence the clustering results directly. This paper discusses the various types of algorithms like Hierarchical Clustering Algorithms Partitioning Method Nearest Neighbor algorithm K-Mean (A centroid based Technique) Density-Based clustering etc. This paper also deals with the problems of clustering algorithm such as time complexity and accuracy to provide the better results based on various environments.