Clustering ensemble method based DILCA distance
Bao-Ping Su, Ming-Chunwang, Yuanyuan Sun, Kun Liu · 2013
A method of clustering ensemble is transforming the clustering ensemble problem into the clustering problem among objects in a nominal information table. The basic problem is to give a method which is used to calculate the distance between the nominal attribute value. In this paper, DILCA method is adopted to calculate the distance between the nominal attribute value. Using the correlation between the attributes, this method calculate the distance more accurately. At the same time, the method uses the correlation and redundancy between attributes to decide the context attributes set of one attribute which is used to reduce the calculation quantity. The superiority of this method are demonstrated by experiments.