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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=155
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=225		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=6
dc=0.36567749076811407		 Clustering
HDBSCAN 0.0 minPts=1
k=131		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=15		 Clustering
c-Means 0.0 k=8
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=110 Clustering
DIANA 0.0 metric=euclidean
k=61		 Clustering
DBSCAN 0.0 eps=0.8358342646128322
MinPts=241		 Clustering
Hierarchical Clustering 0.0 method=single
k=66		 Clustering
fanny 0.0 k=44
membexp=5.0		 Clustering
k-Means 0.0 k=89
nstart=10		 Clustering
DensityCut 0.0 alpha=0.078125
K=8		 Clustering
clusterONE 0.739 s=183
d=0.6333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.0
maxits=2000
convits=350		 Clustering
Markov Clustering 0.739 I=4.93083083083083 Clustering
Transitivity Clustering 0.0 T=1.13734955301108 Clustering
MCODE 0.0 v=0.9
cutoff=1.2406914865346728
haircut=T
fluff=T		 Clustering