TY - JOUR JF - jiaeee JO - Journal of Iranian Association of Electrical and Electronics Engineers VL - 13 IS - 2 PY - 2016 Y1 - 2016/7/01 TI - Using a Subset of Primary Clusters to Construct a Consensus Partitioning TT - انتخاب خوشه‌های اولیه به کمک الگوریتم‌های هوشمند برای مشارکت در خوشه‌بندی ترکیبی N2 - Most of the recent studies have tried to create diversity in primary results and then applied a consensus function over all the obtained results to combine the weak partitions. In this paper a clustering ensemble method is proposed which is based on a subset of primary clusters. The main idea behind this method is using more stable clusters in the ensemble. The stability is applied as a goodness measure of the clusters. The clusters which satisfy a threshold of this measure are selected to participate in the ensemble. For combining the chosen clusters, a co-association based consensus function is applied. A new EAC based method which is called Extended Evidence Accumulation Clustering, EEAC, is proposed for constructing the Co-association Matrix from the subset of clusters. The proposed method is evaluated on five different UCI repository data sets. The empirical studies show the significant improvement of the proposed method in comparison with other ones. SP - 163 EP - 184 AU - Hosseinpoor, Mohamadjavad AU - Parvin, Hamid AD - KW - Clustering Ensemble KW - Cluster Stability KW - Mutual Information KW - Co-association Matrix. UR - http://jiaeee.com/article-1-73-en.html ER -