文章基本信息

标题：Enhancement in Clustering to Find Cluster Center and Improve Cluster Quality
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作者：Veerpal ; Sanyam Anand
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2016
卷号：6
期号：1
页码：64-67
语种：English
出版社：Ayushmaan Technologies
摘要：In daily life more much amount of data is produced.Sometimes data created is uncertain and is difficult to handle. By using clustering uncertain data can be handled. Determining cluster center or say guesstimate of cluster center issues from these dissemination are expected. Problem is cracked by non-linear minimum square optimization compliant the cluster center and cluster size. Clustering has many applications in many domains Where clustering is used in various fields of our real life. It is a development which are given here and described few on it. Also is used in various fields are unknown on it. Finding cluster center and cluster sizes are very useful in many areas. Purposed work would describe the enhancement of clustering to define the cluster center to increase cluster quality. Suggested technique is very useful for practical applications and theoretical reflection for clustering problems.
关键词：Clustering;Cluster Analysis;Uncertainty;Cluster Center