figures_for_presentation/heuristic-based approach.R
In Rosenkrands/dz: Dynamic Zoning
library(tidyverse)
inst <- test_instances$p7_chao
variances <- generate_variances(inst)
info <- generate_information(inst)
p_inst <- prepare_instance(inst, variances, info)
clust <- clustering(p_inst, k = 4, L = 120, eps = 0, variances, info, cluster_method = "local_search", alpha = 1)
plot(clust)
animate_local_search(clust, filename = "HC_v2.gif")
# ggsave("HC_v2.png", width = 1920, height = 1080, units = "px", dpi = 250)
Rosenkrands/dz documentation built on June 26, 2022, 10:43 p.m.
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library(tidyverse)
inst <- test_instances$p7_chao
variances <- generate_variances(inst)
info <- generate_information(inst)
p_inst <- prepare_instance(inst, variances, info)
clust <- clustering(p_inst, k = 4, L = 120, eps = 0, variances, info, cluster_method = "local_search", alpha = 1)
plot(clust)
animate_local_search(clust, filename = "HC_v2.gif")
# ggsave("HC_v2.png", width = 1920, height = 1080, units = "px", dpi = 250)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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