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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=56
samples=20		 Clustering
Self Organizing Maps 0.0 x=150
y=108		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=16
dc=0.8358342646128322		 Clustering
HDBSCAN 0.0 minPts=1
k=131		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=104		 Clustering
c-Means 0.0 k=45
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=248 Clustering
DIANA 0.0 metric=euclidean
k=158		 Clustering
DBSCAN 0.0 eps=0.36567749076811407
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=213		 Clustering
fanny 0.0 k=85
membexp=5.0		 Clustering
k-Means 0.0 k=92
nstart=10		 Clustering
DensityCut 0.0 alpha=0.15873015873015872
K=15		 Clustering
clusterONE 0.739 s=191
d=0.43333333333333335		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.7835946230745302
maxits=3500
convits=500		 Clustering
Markov Clustering 0.739 I=6.578978978978979 Clustering
Transitivity Clustering 0.0 T=1.021261460703742 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering