Below is the function *hclust* hclust function (d, method = "complete", members = NULL) { METHODS <- c("ward", "single", "complete", "average", "mcquitty", "median", "centroid") method <- pmatch(method, METHODS) if (is.na(method)) stop("invalid clustering method") if (method == -1) stop("ambiguous clustering method") n <- as.integer(attr(d, "Size")) if (is.null(n)) stop("invalid dissimilarities") if (n < 2) stop("must have n >= 2 objects to cluster") len <- as.integer(n * (n - 1)/2) if (length(d) != len) (if (length(d) < len) stop else warning)("dissimilarities of improper length") if (is.null(members)) members <- rep(1, n) else if (length(members) != n) stop("invalid length of members") hcl <- .Fortran(C_hclust, n = n, len = len, method = as.integer(method), ia = integer(n), ib = integer(n), crit = double(n), members = as.double(members), nn = integer(n), disnn = double(n), flag = logical(n), diss = as.double(d), PACKAGE = "stats") hcass <- .Fortran(C_hcass2, n = as.integer(n), ia = as.integer(hcl$ia), ib = as.integer(hcl$ib), order = integer(n), iia = integer(n), iib = integer(n), PACKAGE = "stats") tree <- list(merge = cbind(hcass$iia[1L:(n - 1)], hcass$iib[1L:(n - 1)]), height = hcl$crit[1L:(n - 1)], order = hcass$order, labels = attr(d, "Labels"), method = METHODS[method], call = match.call(), dist.method = attr(d, "method")) class(tree) <- "hclust" tree }
If a function has no cycles, then, in my view amateur, all the action on the formation of the cluster tree are made in: /*hcl */<- *.Fortran*(C_hclust, n = n, len = len, method = as.integer(method), ia = integer(n), ib = integer(n), crit = double(n), members = as.double(members), nn = integer(n), disnn = double(n), flag = logical(n), diss = as.double(d), PACKAGE = "stats") /*hcass */<- *.Fortran*(C_hcass2, n = as.integer(n), ia = as.integer(hcl$ia), ib = as.integer(hcl$ib), order = integer(n), iia = integer(n), iib = integer(n), PACKAGE = "stats") where can I see some procedures /*C_hclust*/ и */C_hcass2/* or they are present in the *R* already compiled? If it possible , then there is hope to save the merger of clusters in the file and get the "Amalgamation Schedule" (sequence of jointing). -- View this message in context: http://r.789695.n4.nabble.com/Clusters-How-to-build-a-Amalgamation-Schedule-sequence-of-jointing-tp4319741p4329061.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.