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When classifying very large-scale data sets, there are two major challenges: the first challenge is that it is time-consuming and laborious to label sufficient amount of training samples; the second challenge is that it is difficult to train a model in a time-efficient and high-accuracy manner. This is due to the fact that to create a high-accuracy model, normally it is required to generate a large...
Fuzzy C-means (FCM) clustering method has been widely used in image segmentation that plays an important role in a variety of applications in image processing and computer vision systems, but the performance of FCM heavily relies on the initial cluster centers which are difficult to determine. To solve the problem, the paper proposes a new hybrid method for image segmentation, which first randomly...
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