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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=85
samples=20		 Clustering
Self Organizing Maps 1.0 x=312
y=239		 Clustering
Spectral Clustering 1.0 k=34 Clustering
clusterdp 1.0 k=14
dc=27.276979304901047		 Clustering
HDBSCAN 1.0 minPts=11
k=83		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=71		 Clustering
c-Means 1.0 k=56
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=164 Clustering
DIANA 1.0 metric=euclidean
k=148		 Clustering
DBSCAN 1.0 eps=2.020516985548226
MinPts=1		 Clustering
Hierarchical Clustering 1.0 method=complete
k=99		 Clustering
fanny 1.0 k=142
membexp=2.0		 Clustering
k-Means 1.0 k=226
nstart=10		 Clustering
DensityCut 1.0 alpha=0.03560799319727891
K=8		 Clustering
clusterONE 0.0 s=94
d=0.5333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=22.73081608741754
maxits=2750
convits=350		 Clustering
Markov Clustering 0.0 I=9.75945945945946 Clustering
Transitivity Clustering 1.0 T=25.99974559481726 Clustering
MCODE 1.0 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=F		 Clustering