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This paper presents a two-pass clustering algorithm with a combination of the linear assignment and k-means methods. To avoid the inconsistency of clustering results from the k-means method with random initialization, the linear assignment method with the least similar cluster representatives is applied first to generate initial clusters, and then followed with the k-means method. This approach is...
In this paper, a remote sensing image segmentation procedure that utilizes a single point iterative weighted fuzzy C-means clustering algorithm is proposed based upon the prior information. This method can solve the fuzzy C-means algorithm's problem that the clustering quality is greatly affected by the data distributing and the stochastic initializing the centrals of clustering. After the probability...
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