Peak-climbing algorithm is a graph-theoretic clustering method based on a multidimensional histogram. It is a totally nonparametric method that mainly possesses advantages of having good flexibility and needs less computer time.
爬峰法是一种基于高维直方图的图论方法,是一种完全的非参数聚类方法,具有适应性好、计算速度快的优点。
参考来源 - 基于爬峰法聚类的TM图像专题信息人机交互提取 in C·2,447,543篇论文数据,部分数据来源于NoteExpress
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