期刊名称：International Journal of Electronics, Communication and Soft Computing Science and Engineering
印刷版ISSN：2277-9477
出版年度：2015
卷号：4
期号：Special 2
出版社：IJECSCSE
摘要：Clustering is a popular for exploratory data analysis, data representation and data summarization. Traditional clustering algorithms only find single clustering solution which is not sufficient for the analysis of the data. Complex data can be grouped in many different ways. This is true in case of high-dimensional setting where different subspaces give different possible grouping of the data. The different views of the data and the use of relationship between these views are helpful to solve the problem of clustering. For this purpose an approach is introduced that finds the multiple clustering views
