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：2019
卷号：7
期号：2
页码：1012-1017
DOI：10.15680/IJIRCCE.2019. 0702087
出版社：S&S Publications
摘要：This paper proposes TW-k-means, an automated two-level variable weighting clustering algorithm for
multiview data, which can simultaneously compute weights for views and individual variables. In this algorithm, a
view weight is assigned to each view to identify the compactness of the view and a variable weight is also assigned to
each variable in the view to identify the importance of the variable. Both view weights and variable weights are used in
the distance function to determine the clusters of objects. In the new algorithm, two additional steps are added to the
iterative k-means clustering process to automatically compute the view weights and the variable weights.
