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With the development of digital cable interactive business and the diversification of the customers' demand, grouping TV programmes based on preferences of users effectively is vital for market segmentation and differentiation. The study summarizes the main principle and characteristic of clustering algorithm, and uses K-Means algorithm to show TV programmes preference grouping based on 52392 subscribers...
As a complementary and alternative system to Western medicine, traditional Chinese medicine (TCM) forms an integrated and unique approach to treat diseases. In response to the subjectivity and fuzziness of TCM, quantitative methods are needed. In TCM, the symptoms are often high dimensional and the redundant and irrelevant symptoms may degrade the performance of classifiers. Therefore, a critical...
In this paper, a novel support vector clustering algorithm based on k-means (SVC-KM) is presented not only improve the SVC running speed, but also overcome the weaknesses of k-means algorithm. Firstly, SVC algorithm was employed to identify some samples as outliers and some others as intra-cluster points, so that it removed noise and extracted samples near to the cluster core. Then the proposed method...
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