Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » Markov Clustering » Best Parameters
Navigation:
027Hints:

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 0.995 I=2.249249249249249
chang_pathbased 0.696 I=9.554554554554555
ppi_mips 0.993 I=3.7370370370370374
chang_spiral 0.331 I=2.1868868868868865
astral_40_strsim 0.991 I=8.832932932932934
astral_40_seqsim_beh 0.991 I=1.5632632632632633
fraenti_s3 0.067 I=5.313913913913915
bone_marrow_fixLabels 0.361 I=1.1979979979979982
fu_flame 0.536 I=1.5810810810810811
coli_state 0.391 I=1.1979979979979982
coli_find 0.127 I=6.382982982982983
coli_need 0.387 I=6.57007007007007
coli_time 0.264 I=2.249249249249249
gionis_aggregation 0.217 I=1.1
veenman_r15 0.065 I=2.017617617617618
zahn_compound 0.247 I=3.7548548548548553
synthetic_spirals 0.498 I=8.432032032032032
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=2.9174174174174174
bone_marrow 0.777 I=9.955455455455455
zachary 1.0 I=1.8483483483483483