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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=18
samples=20		 Clustering
Self Organizing Maps 0.0 x=134
y=67		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=16
dc=0.9403135476894363		 Clustering
HDBSCAN 0.0 minPts=15
k=69		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=19		 Clustering
c-Means 0.0 k=189
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=63 Clustering
DIANA 0.0 metric=euclidean
k=178		 Clustering
DBSCAN 0.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=average
k=237		 Clustering
fanny 0.0 k=8
membexp=1.1		 Clustering
k-Means 0.0 k=116
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05197704081632653
K=8		 Clustering
clusterONE 1.0 s=216
d=0.6		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.7835946230745302
maxits=2000
convits=350		 Clustering
Markov Clustering 1.0 I=5.403003003003003 Clustering
Transitivity Clustering 0.0 T=1.5530704241116815 Clustering
MCODE 0.0 v=0.4
cutoff=1.2406914865346728
haircut=F
fluff=F		 Clustering