search for: pointsuxo15555

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2007 Jul 04
0
Kmeans performance difference
Hi All, A question from a newbie using R 2-5-0 on windows XP. Why is it that kmeans clustering with apparently the exact same parameters behaves so differently between the two following examples : > cl1 <- kmeans(subset(pointsUXO15555, select = c(2:4)), 10) Takes about 2 seconds to deliver a result > cl1 <- clust(subset(pointsUXO15555, select = c(2:4)), k=10, method="kmeansHartigan") Dies after about 10 minutes and fills up RAM : *** running kmeansHartigan cluster algorithm... *** calculating validity m...