...词： K-means 聚类；聚类中心；自适应；相似性度量；阈值；航迹起始 [gap=1135]Key words: K-means clustering; cluster center; adaptive; similarity measure; threshold; Track initiation ..
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initial cluster center 初始聚类中心
cluster-center 簇中心
merger cluster center 归并聚类中心
Optimal cluster center 最佳聚类中心
Contact cluster center 接触聚类中心
original cluster center 初始聚类中心
cluster-center-shifting 簇中心迁移
cluster center separation 聚类中心分离
Choosing the first cluster center at random and the remainder can be found adaptively by the algorithm.
随机选择第一个聚类中心，剩下的聚类中心可以自适应地由算法得到。
参考来源 - 人体运动的跟踪与识别·2,447,543篇论文数据，部分数据来源于NoteExpress
Assign each data row into a cluster, based on the minimum distance to each cluster center.
基于到每个群集中心的最短距离将每个数据行分配给一个群集。
The classification and evaluation are realized by calculating the distance of the object and the cluster center.
通过计算待评价对象与各聚类中心的距离，实现对其分类和方案的评价。
In this paper, three novel fuzzy clustering models are proposed based on the principle of cluster center separation.
根据聚类中心分离原则提出了三个新的模糊聚类模型。
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