Get an umapscan cluster data
get_cluster_data(us, cluster)
Arguments
| us | umapscan object |
|---|---|
| cluster | cluster to retrieve |
Value
1 data frame with the data and data_sup variables of the cluster observations
See also
Examples
library(dplyr) iris_num <- iris %>% select_if(is.numeric) iris_sup <- iris %>% select(Species) us <- new_umapscan(iris_num, data_sup = iris_sup, n_neighbors = 25, min_dist = 0.1, seed = 1337) us <- compute_clusters(us, minPts = 3, eps = 0.5)get_cluster_data(us, "1")#> Species Sepal.Length Sepal.Width Petal.Length Petal.Width umapscan_cluster #> 1 setosa 5.1 3.5 1.4 0.2 1 #> 2 setosa 4.9 3.0 1.4 0.2 1 #> 3 setosa 4.7 3.2 1.3 0.2 1 #> 4 setosa 4.6 3.1 1.5 0.2 1 #> 5 setosa 5.0 3.6 1.4 0.2 1 #> 6 setosa 5.4 3.9 1.7 0.4 1 #> 7 setosa 4.6 3.4 1.4 0.3 1 #> 8 setosa 5.0 3.4 1.5 0.2 1 #> 9 setosa 4.4 2.9 1.4 0.2 1 #> 10 setosa 4.9 3.1 1.5 0.1 1 #> 11 setosa 5.4 3.7 1.5 0.2 1 #> 12 setosa 4.8 3.4 1.6 0.2 1 #> 13 setosa 4.8 3.0 1.4 0.1 1 #> 14 setosa 4.3 3.0 1.1 0.1 1 #> 15 setosa 5.8 4.0 1.2 0.2 1 #> 16 setosa 5.7 4.4 1.5 0.4 1 #> 17 setosa 5.4 3.9 1.3 0.4 1 #> 18 setosa 5.1 3.5 1.4 0.3 1 #> 19 setosa 5.7 3.8 1.7 0.3 1 #> 20 setosa 5.1 3.8 1.5 0.3 1 #> 21 setosa 5.4 3.4 1.7 0.2 1 #> 22 setosa 5.1 3.7 1.5 0.4 1 #> 23 setosa 4.6 3.6 1.0 0.2 1 #> 24 setosa 5.1 3.3 1.7 0.5 1 #> 25 setosa 4.8 3.4 1.9 0.2 1 #> 26 setosa 5.0 3.0 1.6 0.2 1 #> 27 setosa 5.0 3.4 1.6 0.4 1 #> 28 setosa 5.2 3.5 1.5 0.2 1 #> 29 setosa 5.2 3.4 1.4 0.2 1 #> 30 setosa 4.7 3.2 1.6 0.2 1 #> 31 setosa 4.8 3.1 1.6 0.2 1 #> 32 setosa 5.4 3.4 1.5 0.4 1 #> 33 setosa 5.2 4.1 1.5 0.1 1 #> 34 setosa 5.5 4.2 1.4 0.2 1 #> 35 setosa 4.9 3.1 1.5 0.2 1 #> 36 setosa 5.0 3.2 1.2 0.2 1 #> 37 setosa 5.5 3.5 1.3 0.2 1 #> 38 setosa 4.9 3.6 1.4 0.1 1 #> 39 setosa 4.4 3.0 1.3 0.2 1 #> 40 setosa 5.1 3.4 1.5 0.2 1 #> 41 setosa 5.0 3.5 1.3 0.3 1 #> 42 setosa 4.5 2.3 1.3 0.3 1 #> 43 setosa 4.4 3.2 1.3 0.2 1 #> 44 setosa 5.0 3.5 1.6 0.6 1 #> 45 setosa 5.1 3.8 1.9 0.4 1 #> 46 setosa 4.8 3.0 1.4 0.3 1 #> 47 setosa 5.1 3.8 1.6 0.2 1 #> 48 setosa 4.6 3.2 1.4 0.2 1 #> 49 setosa 5.3 3.7 1.5 0.2 1 #> 50 setosa 5.0 3.3 1.4 0.2 1
