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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=60
samples=20		 Clustering
Self Organizing Maps 0.0 x=167
y=133		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=12
dc=0.7835946230745302		 Clustering
HDBSCAN 0.0 minPts=95
k=238		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=110		 Clustering
c-Means 0.0 k=224
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=6 Clustering
DIANA 0.0 metric=euclidean
k=129		 Clustering
DBSCAN 0.0 eps=0.6268756984596242
MinPts=191		 Clustering
Hierarchical Clustering 0.0 method=average
k=189		 Clustering
fanny 0.0 k=40
membexp=5.0		 Clustering
k-Means 0.0 k=187
nstart=10		 Clustering
DensityCut 0.0 alpha=0.051432291666666664
K=11		 Clustering
clusterONE 1.0 s=67
d=0.4		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.5671892461490604
maxits=4250
convits=500		 Clustering
Markov Clustering 1.0 I=4.93083083083083 Clustering
Transitivity Clustering 0.0 T=1.029105250724508 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=F
fluff=F		 Clustering