Traditional clustering algorithms such as k-means algorithm require some prior knowledge to determine initial parameters, but the selection of initial parameters usually influences the clustering result greatly.

• 传统的聚类算法如k-means算法需要一些先验知识来确定初始参数,初始参数的选择通常会对聚类结果生产很大的影响。