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K-means clustering using t-test computation
K-means clustering using t-test computation
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机译:使用t检验计算的K均值聚类
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摘要
A method, apparatus, and system are provided for k-means clustering using t-test computation. According to one embodiment, k-means clustering is performed on a dataset. In performing k-means clustering, the dataset having various points is partitioned into several clusters. The closeness of a given point to a given cluster is determined. Then, t-test computation is performed to determine statistical linear relationship between the point and the cluster. If the point is found to be close to the cluster and a statistical linear relationship is found between the point and the cluster, the current position of the point is maintained.
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