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This paper mainly addresses the issue of determining the number of clusters. Over a data set, a minimum spanning tree is constructed, and then m-ary tree is employed to search clusters on the minimum spanning tree. The number of large and well separate m-ary tree is the number of clusters. Numerical experiments show that the performance of the proposed method is promising.
Image segmentation is considered as one of the crucial steps in image analysis process and it is the most challenging task. Image segmentation can be modeled as a clustering problem. Therefore, clustering algorithms have been applied successfully in image segmentation problems. Fuzzy c-mean (FCM) algorithm is considered as one of the most popular clustering algorithm. Even that, FCM can generate a...
In this paper, we proposed a new data clustering method MATS that was inspired by animals, for example, the dog or the ant, which use scent to mark out their turf. MATS can automatically find clusters, depending on a few parameters that are not directly related to the data set. In addition, there are some existence technique was also utilized in our method, such as the density concept and cluster...
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