verena/sw-k-means
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity

Compare commits

base: verena:2687d90108dae8d09e6b35cbbbb5b3405927c0f2
Branches Tags
verena:commented
verena:main
..
compare: verena:0cbd3b003ba9e6adf95d37160b481079a5cc5b13
Branches Tags
verena:commented
verena:main

3 commits
2687d90108 ... 0cbd3b003b

Author SHA1 Message Date
teichmann
0cbd3b003b fixed saving bug in full combi plot 2024-01-16 11:54:11 +01:00
teichmann
13448191c2 Merge branch 'commented' of https://forge.bexus.org/verena/sw-k-means into commented 2024-01-16 11:10:37 +01:00
teichmann
76aac905e5 apperently I changed something here 2024-01-16 11:10:27 +01:00
1 changed files with 3 additions and 3 deletions
Download patch file Download diff file Expand all files Collapse all files

6
reduced_kmeans.py
View file

@ -2616,7 +2616,7 @@ def full_parameters_plot(size=20,savelabel='', add_label = "_new", ntrials = 100
plt.setp(ax_ex.get_xticklabels(), size = size -4)
plt.setp(ax_ex.get_yticklabels(), size = size -4)
fig_ex.savefig("figures/distribution_paper"+'_'+ex_para+'_'+savelabel+'.pdf',bbox_inches = "tight", dpi = 100)
fig_ex.savefig("figures/distribution_paper"+'_'+str(nClusters)+'_'+ex_para+'_'+savelabel+'.pdf',bbox_inches = "tight", dpi = 100)
plt.close(fig_ex)
@ -3203,8 +3203,8 @@ if __name__=="__main__":
add_label = '_new'
# calculates the mean inner clusters distances for the full parameter combiantion of the n_cluster
calc_inner_cluster_distances(n_clusters= (2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18), plot = False, save = True, load = False, add_label = add_label, ntrials = ntrials, bic=True, verbose=1, silhouette=False)
elbow_plot(clusters = (2,3,4,5,6,7,8,9,10,11, 12,13,14,15,16,17,18), size = 22, parameters = ("dsw","tsw","B","dO7_6","vsw","colage","mcsFe"), innercluster = True , dif_innercluster = True, max_iter = True, add_label = add_label, ntrials = ntrials, bic=True, silhouette=False)
#calc_inner_cluster_distances(n_clusters= (2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18), plot = False, save = True, load = False, add_label = add_label, ntrials = ntrials, bic=True, verbose=1, silhouette=False)
elbow_plot(clusters = (2,3,4,5,6,7,8,9,10,11, 12,13,14,15,16,17,18), size = 22, parameters = ("dsw","tsw","B","dO7_6","vsw","colage","mcsFe"), innercluster = True , dif_innercluster = True, max_iter = True, add_label = add_label, ntrials = ntrials, bic=True, silhouette=True)
elif int(option) == 46:
"""This option evalauates a big Experiment... call it with the to be evaluated experiment in the second argument
"""