期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：5
页码：5735-5742
DOI：10.15680/IJIRCCE.2018.0605113
出版社：S&S Publications
摘要：In the recent study, an enormous quantity of data is generated each day. Data mining is used to
determine an outline from that raw data and produces new information. Clustering analysis is emerging as a exploration
issue in data mining due to the absence of a class label. Clustering collects the items of similar type in one group and
items which are dissimilar are placed in other groups. Clustering divides the data into multiple groups having similar
types. It is an unsupervised learning technique. The drawback of data clustering algorithm is that it is not stable. Many
works of literature have addressed the problem in existing clustering algorithm to improve the performance of existing
clustering algorithm. In this paper, we have done the survey on existing literature about improving the performance of
existing clustering algorithm to cluster data.
关键词：Clustering analysis; Data mining; Unsupervised learning technique
