%0 Journal Article
%A WANG Jie
%A JIANG Guo-qiang
%T Novel attribute discretization algorithm based on nearest neighbor-clustering
%D 2009
%R 10.3778/j.issn.1002-8331.2009.24.013
%J Computer Engineering and Applications
%P 40-42
%V 45
%N 24
%X Discretization of continuous attribute is an important pretreatment process in the knowledge discovery study.A novel algorithm of supervised discretization of continuous attributes based on nearest neighbor-clustering and the theories of rough set is introduced.The algorithm is dealt with in two stages，in the first stage，the number of clusters is adjusted dynamically by using the nearest neighbour-clustering，and then the initial clusters are determined.In the second stage，the adjacent region is merged by adopting the definition of merging similar range，and then the clusters are reduced.The algorithm is proved effectively by the case analysis.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2009.24.013