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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 1.0 metric=euclidean
k=92
samples=20		 Clustering
Self Organizing Maps 1.0 x=105
y=21		 Clustering
Spectral Clustering 1.0 k=84 Clustering
clusterdp 1.0 k=10
dc=10.10258492774113		 Clustering
HDBSCAN 1.0 minPts=30
k=297		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=228		 Clustering
c-Means 1.0 k=193
m=5.0		 Clustering
k-Medoids (PAM) 1.0 k=240 Clustering
DIANA 1.0 metric=euclidean
k=3		 Clustering
DBSCAN 1.0 eps=28.28723779767516
MinPts=239		 Clustering
Hierarchical Clustering 1.0 method=single
k=213		 Clustering
fanny 1.0 k=101
membexp=2.0		 Clustering
k-Means 1.0 k=255
nstart=10		 Clustering
DensityCut 1.0 alpha=0.05617559523809523
K=3		 Clustering
clusterONE 0.0 s=73
d=0.5		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=22.73081608741754
maxits=4250
convits=350		 Clustering
Markov Clustering 0.0 I=7.015515515515515 Clustering
Transitivity Clustering 1.0 T=29.367273904064305 Clustering
MCODE 1.0 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=F		 Clustering