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Clustering support vector machines (CSVM) is proposed in this paper for unlabeled data classification. It is often for us to deal with a large number of data which are wholly unlabeled, e.g., classifying them, and it is impractical for us to label these data manually. Clustering algorithms can be used to generate labels for this kind of data. The global k-means clustering algorithm, the fast global...
The kernel method was employed into an index algorithm on iris recognition, while clustering the massive databases under unsupervised learning. And this algorithm was certified to have a good performance in iris classification from large-scale databases by Support Vector Machines. First of all, we proposed three criterions of coding iris images in application to index. According to these requirements,...
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