http://r.789695.n4.nabble.com/file/n4332721/Рисунок1.jpg
Ultimately, I want, when I will set the limits of height's variation from
*min* to *max*, get into the file a set of clusters (*A, B, C, ... ..*) in
the form of:
l1; 32, 33, 34, 30, 31, 55, 60, 58, 59, 57, 61
l2; 50, 51, 52, 54, 47, 53, 48,
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")
Dear all,
I need to process large amounts of data (two or three variables for 6,000
cases) cluster analysis. In the end I need to fill the source data to the
obtained clusters. I need to trace the sequence of data fusion. In this
case, I can fill in a cluster (with any level of linkage distance) by
3 matches
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