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Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
CLARA 0.0 metric=euclidean
k=67
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=216		 Clustering
Spectral Clustering 0.0 k=77 Clustering
clusterdp 0.0 k=2
dc=1.104		 Clustering
HDBSCAN 0.0 minPts=12
k=238		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=89		 Clustering
c-Means 0.0 k=204
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=92 Clustering
DIANA 0.0 metric=euclidean
k=80		 Clustering
DBSCAN 0.0 eps=1.5456
MinPts=233		 Clustering
Hierarchical Clustering 0.0 method=complete
k=78		 Clustering
fanny 0.0 k=97
membexp=1.1		 Clustering
k-Means 0.0 k=173
nstart=10		 Clustering
DensityCut 0.0 alpha=0.035714281190718906
K=4		 Clustering
clusterONE 0.502 s=92
d=0.0		 Clustering
Affinity Propagation 0.062 dampfact=0.845
preference=2.484
maxits=3500
convits=500		 Clustering
Markov Clustering 0.502 I=5.8484484484484485 Clustering
Transitivity Clustering 0.0 T=3.245693693693694 Clustering
MCODE 0.021 v=0.8
cutoff=3.036
haircut=T
fluff=T		 Clustering