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 0.995 I=2.2225225225225227
chang_pathbased 0.696 I=9.118018018018018
ppi_mips 0.993 I=4.333933933933935
chang_spiral 0.331 I=5.705905905905906
astral_40_strsim 0.991 I=8.832932932932934
astral_40_seqsim_beh 0.991 I=1.5632632632632633
fraenti_s3 0.067 I=6.071171171171171
bone_marrow_fixLabels 0.361 I=1.1
fu_flame 0.536 I=7.095695695695696
coli_state 0.391 I=6.801701701701702
coli_find 0.127 I=8.645845845845846
coli_need 0.387 I=6.774974974974976
coli_time 0.264 I=4.984284284284285
gionis_aggregation 0.217 I=1.1
veenman_r15 0.065 I=5.955355355355355
zahn_compound 0.247 I=2.953053053053053
synthetic_spirals 0.498 I=8.966566566566566
synthetic_cassini 0.357 I=3.3450450450450453
twonorm_100d 0.497 I=5.536636636636637
twonorm_50d 0.497 I=4.1913913913913925
synthetic_cuboid 0.261 I=5.3406406406406415
astral1_161 0.852 I=8.734934934934936
tcga 0.554 I=1.7325325325325327
bone_marrow 0.777 I=9.964364364364364
zachary 1.0 I=1.8483483483483483