====== 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:pics:eu-dis.png}} \\ ====== ====== [[notes:da:euana|Back to European data analysis]]