作者
G Sreenivasulu, S Viswanadha Raju, N Sambasiva Rao
发表日期
2017
研讨会论文
Proceedings of the International Conference on Data Engineering and Communication Technology: ICDECT 2016, Volume 1
页码范围
523-535
出版商
Springer Singapore
简介
Clustering is the procedure of consortium a set of entities in such a manner those similar entities should in the same group. Cluster analysis is not one specific approach, but the general process to be observed. Clustering can be viewed by different algorithms that differ independently, in their view what is meant by a cluster and how to find them perfectly. Popular notions of clusters include groups with minimum distances among the cluster members. The clustering problem has been discussed by researchers in different things with respective domain. It reveals broad scope of clustering and it is very important in the process of data analysis as one step. However, it is very difficult because of the researchers may assume in different contexts. Clustering is one of best approach of data mining and a common methodology for statistical data analysis. It is used in all major domains like Banking, Health care, Robotics …
引用总数
201720182019202020212022233112
学术搜索中的文章
G Sreenivasulu, SV Raju, NS Rao - Proceedings of the International Conference on Data …, 2017