Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
Spectral Clustering 0.844 k=644 Clustering
clusterdp 0.0 k=106
dc=34.9346176
Clustering
AGNES 0.0 method=single
metric=euclidean
k=921
Clustering
c-Means 0.0 k=1027
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=912 Clustering
DIANA 0.0 metric=euclidean
k=754
Clustering
DBSCAN 0.0 eps=39.301444800000006
MinPts=699
Clustering
Hierarchical Clustering 0.0 method=average
k=307
Clustering
fanny 0.054 k=458
membexp=5.0
Clustering
clusterONE 0.989 s=35
d=0.8666666666666667
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=43.668272
maxits=5000
convits=275
Clustering
Markov Clustering 0.198 I=9.839639639639639 Clustering
Transitivity Clustering 0.0 T=23.079927543543544 Clustering
MCODE 0.789 v=0.8
cutoff=7.278045333333334
haircut=F
fluff=T
Clustering