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Mathimatics-Numerical algorithms】K-means解决聚类问题,以欧式距离作为相似度测度,它是求对应某一初始聚类中心向量V最优分类,使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。-K-means solves the problem of clustering, taking the Euclidean distance as the similarity measure, which is the optimal classification of t
Update : 2025-04-05 | Size : 1024
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