# Set number of clusters to be equal to number of known ransomware groups (ignoring the whites)
n_groups <- length(unique(ransomware$label)) - 1
n_groups

# K-Means Clustering
# https://www.polarmicrobes.org/microbial-community-segmentation-with-r/

som.cluster <- kmeans(data.frame(som_model2$codes[[1]]), centers=n_groups)

plot(som_model2,
     main = '',
     type = "property",
     property = som.cluster$cluster,
     palette.name = topo.colors)
add.cluster.boundaries(som_model2, som.cluster$cluster)

# Hierarchical Clustering
# https://www.datacamp.com/community/tutorials/hierarchical-clustering-R

som.cluster <- hclust(dist(data.frame(som_model2$codes[[1]])), method="mcquitty")

plot(som_model2,
     main = '',
     type = "property",
     property = som.cluster$order,
     palette.name = topo.colors)

add.cluster.boundaries(som_model2, som.cluster$order)


# Clean up environment
#rm(som.cluster)