Clustering with relational constraint based on the class dist

> res <- relConD(DD,strategy="tolerant")
Clustering with relational constraint based on the class dist
by Vladimir Batagelj, March 2018
Method: max   Strategy: tolerant 
[1] "Started: 2018-04-06 22:22:49"
[1] "Finished: 2018-04-06 22:22:49"
> plot(res,hang=-1,main="Europe",sub="dist: tolerant / maximum",cex=0.4)
> p <- cutree(t,k=10)
> table(p)
p
 1  2  3  4  5  6  7  8  9 10 
 6  6  9 14  3  8  2  6  1  1 
> p
SJM ALB AND AUT BEL BIH HRV CZE DNK EST FIN FRA DEU GIB GRC GGY HUN IRL IMN ITA JEY LVA 
  1   2   3   4   3   5   4   4   3   6   3   1   4   7   4   5   6   2   4   4   8   6 
LIE LTU LUX MKD MLT MCO MNE NLD NOR POL PRT SMR SRB SVK SVN ESP SWE CHE GBR ARM AZE BLR 
  5   6   1   8   3   9   4   3   1   4   4   3   4   4   4   3   1   3   1   8   2   6 
BGR FRO GEO ISL MDA ROU TUR UKR RUS CYP VAT XKX 
  6   8   8   7   8   4   2   6   6   2  10   2 
> 


notes/da/eudis.txt · Last modified: 2018/04/11 12:30 by vlado
 
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