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Aiming at the limitation of traditional graph-theory clustering method in the process of image segmentation, a new segmentation approach is proposed, which uses fuzzy similarity relationship to weight the edges while a complete graph is constituted. And fuzzy maximum spanning tree is used to clustering. Thus the traditional graph-theory clustering method is improved as the fuzzy graph-theory clustering...
There usually exit some reactive and redundant attributes in clustering objects. In order to improve the efficiency and veracity of clustering, we must delete those reactive and redundant attributes before clustering. A compound clustering algorithm is proposed in this paper. The algorithm first introduces fuzzy clustering to classify attributes, and then uses Fuzzy C-means (FCM) algorithm to partition...
We here propose a methodology to improve hierarchical cluster analysis using partial least squares (PLS). Two problems are addressed by this methodology, these are (1) when, as usually, Euclidean distance is used for hierarchical cluster analysis, but Euclidean distance is defined only in Euclidean space. If Euclidean distances are computed in other spaces, the distances are hard to make sense. On...
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