Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 0.979 k=3
dc=269.4218461192632
chang_pathbased 0.795 k=3
dc=1.9530602767053673
ppi_mips 0.269 k=949
dc=0.4666666666666667
chang_spiral 1.0 k=5
dc=19.194911362708144
astral_40_strsim 0.832 k=106
dc=23.28974506666667
astral_40_seqsim_beh 0.599 k=350
dc=88.70254366999094
fraenti_s3 0.853 k=22
dc=36008.34461886732
bone_marrow_fixLabels 0.974 k=3
dc=0.06101759683428935
fu_flame 1.0 k=24
dc=1.4758472143145445
coli_state 0.696 k=2
dc=0.8996367384139357
coli_find 0.396 k=17
dc=0.9696892227859327
coli_need 0.733 k=3
dc=0.9534660540554826
coli_time 0.596 k=2
dc=0.8932720265012789
gionis_aggregation 1.0 k=8
dc=2.587697389143054
veenman_r15 0.997 k=15
dc=0.4647755061436769
zahn_compound 0.908 k=6
dc=3.6781585066443236
synthetic_spirals 1.0 k=3
dc=1.9872000000000003
synthetic_cassini 1.0 k=6
dc=0.522160816583292
twonorm_100d 0.831 k=2
dc=0.0
twonorm_50d 0.831 k=2
dc=0.0
synthetic_cuboid 1.0 k=6
dc=1.1492721138426443
astral1_161 0.742 k=12
dc=220.56273769760224
tcga 0.928 k=12
dc=0.9387704871560112
bone_marrow 0.921 k=23
dc=0.06101759683428935
zachary 0.97 k=25
dc=0.4666666666666667