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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=95
samples=20		 Clustering
Self Organizing Maps 0.0 x=109
y=84		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=10
dc=0.47015677384471816		 Clustering
HDBSCAN 0.0 minPts=20
k=35		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=119		 Clustering
c-Means 0.0 k=47
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=12 Clustering
DIANA 0.0 metric=euclidean
k=41		 Clustering
DBSCAN 0.0 eps=0.5223964153830202
MinPts=216		 Clustering
Hierarchical Clustering 0.0 method=single
k=248		 Clustering
fanny 0.0 k=115
membexp=5.0		 Clustering
k-Means 0.0 k=105
nstart=10		 Clustering
DensityCut 0.0 alpha=0.2976190476190476
K=5		 Clustering
clusterONE 0.739 s=1
d=0.8		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.1753919346117954
maxits=5000
convits=275		 Clustering
Markov Clustering 0.739 I=9.10910910910911 Clustering
Transitivity Clustering 0.0 T=1.408744687729586 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=F		 Clustering