首页    期刊浏览 2024年11月29日 星期五
登录注册

文章基本信息

  • 标题:Categorization of Several Clustering Algorithms from Different Perspective: A Review
  • 本地全文:下载
  • 作者:Prof. Neha Soni ; Prof. Amit Ganatra
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2012
  • 卷号:2
  • 期号:8
  • 出版社:S.S. Mishra
  • 摘要:Cluster Analysis is a process of grouping the objects, where objects can be physical like a student or can be an abstract such as behaviour of a customer, handwriting. Clustering has been applied to serve various purposes like, to gain insight to data distribution, generate hypotheses, to observe the characteristic and find anomalies, to form th e natural classification and even to summarize a data . Large number of clustering algorithms had been proposed which falls into the different clustering methods. The intension of this paper is to provide a categorization of some well known clustering algorithms. It also describes the clustering process and overview of the different clustering methods
  • 关键词:C clustering methods; clustering process; clustering algorithms; partitioning methods; hierarchical methods; ;and density based and grid based methods
国家哲学社会科学文献中心版权所有