Nearshore locations in three principal global clusters and their respective attributes

The attributes in rough set must be discretized, but the general theory on discretization did not think about the decision attribute adequately during discretization of data, as a result, it leads to several redundant rules and lower calculation ...

Principal coordinate analysis is a more powerful technique than principal component analysis to ensure identification on groups of objects if some conditions are satisfied. The results of using principal coordinates prior to cluster analysis were ...

Data sources representing social networks with additional attribute information about the nodes are widely available in today's applications. Recently, combined clustering methods were introduced that consider graph information and attribute information ...