The general dynamic clustering algorithms are used by static samples. The results of clustering not only rely on the original classification, but easily get into local optimum.
一般的动态聚类算法都是针对静态样本数据的，其聚类结果不仅依赖初始分类，而且易陷入局部极小。
The general dynamic clustering algorithms are used by static samples. The results of clustering not only rely on the original classification, but easily get into local optimum.
一般的动态聚类算法都是针对静态样本数据的，其聚类结果不仅依赖初始分类，而且易陷入局部极小。
应用推荐