您回复错了吧！！！这是什么？

two-step cluster? Maybe a new name, but not a new concept.
In the  'cluster' package of R, we can achieve it by the followint command:

daisy(x, metric = c("euclidean", "manhattan", "gower"), stand = FALSE, type = list(), weights = rep.int(1, p))

where x is numeric matrix or data frame, of dimension n* p, say. Dissimilarities will be computed between the rows of x. Columns of mode numeric (i.e. all columns when x is a matrix) will be recognized as interval scaled variables, columns of class factor will be recognized as nominal variables,  and columns of class ordered will be recognized as ordinal variables. Other variable types should be specified with the type argument.

这个太专业了吧，不懂

能不能具体一点呢