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Due to the huge diversity and heterogeneity of data coming from websites and new technologies, data contents can be better represented by multiple representations for taking advantage of their complementary characteristics efficiently. This paper presents and discusses a new approach for collaborative multi-view clustering based on K-means hypothesis but modified in different ways. Our solution seeks...
Data clustering analysis is the process of finding similarity between data that are assigned into homogeneous groups and the most heterogeneous as possible among groups. There are several analysis methods in wich K-means clustering algorithm is the widly used in different research areas. Therefore, this paper reviews the most known variants of clustering methods which are K-means, IRP-K-means and...
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