Parameters of various hierarchical clustering methods.
收藏数据链接：
官方服务：
资源简介：
β, ɣ: corrections based on the triangle ijk; Dissimilarity [E2: Euclidean distance; E2′: half of the squared Euclidean distance]; Monotony [monotonically increasing lengths (We note that this is not true in the centroid and median methods. The value of a monotonic increase depends on the particular situation.); T: true; F: false;]; Metric [expansion & reduction: renewal of ongoing clustering by increasing or reducing the distance between data points].
创建时间：
2017-06-15
