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• 13:33, 19 December 2025 Brb talk contribs created page File:Uwot.png (<syntaxhighlight lang='r'> # Prepare data library(uwot) library(ggplot2) library(dplyr) # training and test sets (as given) iris_train <- iris[c(1:10, 51:60), ] iris_test <- iris[100:110, ] # numeric feature matrices x_train <- as.matrix(iris_train[, 1:4]) x_test <- as.matrix(iris_test[, 1:4]) # Fit UMAP on training data (keep model) set.seed(123) umap_model <- umap( x_train, n_neighbors = 5, min_dist = 0.1, n_components = 2, ret_model = TRUE ) # training embedding train_embe...)
• 13:33, 19 December 2025 Brb talk contribs uploaded File:Uwot.png (<syntaxhighlight lang='r'> # Prepare data library(uwot) library(ggplot2) library(dplyr) # training and test sets (as given) iris_train <- iris[c(1:10, 51:60), ] iris_test <- iris[100:110, ] # numeric feature matrices x_train <- as.matrix(iris_train[, 1:4]) x_test <- as.matrix(iris_test[, 1:4]) # Fit UMAP on training data (keep model) set.seed(123) umap_model <- umap( x_train, n_neighbors = 5, min_dist = 0.1, n_components = 2, ret_model = TRUE ) # training embedding train_embe...)