search for: betweenss

...in cluster sum of squares by cluster: [1] 2.731015e+26 8.785281e+22 4.726557e+26 3.513411e+22 5.092071e+25 (between_SS / total_SS = 98.9 %) Available components: [1] "cluster" "centers" "totss" "withinss" "tot.withinss" [6] "betweenss" "size" *Now how to I save these 5 clusters into 5 separate folders? * Please advise, Thanks. [[alternative HTML version deleted]]

...5 1 Within cluster sum of squares by cluster: [1] 0.6702803 0.0000000 0.2453294 0.1860180 1.3535263 (between_SS / total_SS = 76.8 %) Available components: [1] "cluster" "centers" "totss" "withinss" "tot.withinss" [6] "betweenss" "size" > Q3)I would like to understand which raw data are in which cluster ? Does somebody knows how to access the table of raw data which are in the same cluster ? Thanks for help DZU -- View this message in context: http://r.789695.n4.nabble.com/K-means-results...

...2L]]) + cluster <- Z$c1 + if (!is.null(rn <- rownames(x))) + names(cluster) <- rn + totss <- sum(scale(x, scale = FALSE)^2) + print(Z$iter) + structure(list(cluster = cluster, centers = centers, totss = totss, + withinss = Z$wss, tot.withinss = best, betweenss = totss - + best, size = Z$nc, iter = Z$iter), class = "kmeans") + } > <environment: namespace:stats> Error: unexpected '<' in "<"