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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=213
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=25		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=16
dc=0.9403135476894363		 Clustering
HDBSCAN 0.0 minPts=35
k=44		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=18		 Clustering
c-Means 0.0 k=157
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=39 Clustering
DIANA 0.0 metric=euclidean
k=105		 Clustering
DBSCAN 0.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=complete
k=19		 Clustering
fanny 0.0 k=69
membexp=2.0		 Clustering
k-Means 0.0 k=202
nstart=10		 Clustering
DensityCut 0.0 alpha=0.04761159987676711
K=11		 Clustering
clusterONE 1.0 s=25
d=0.6333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.3917973115372651
maxits=5000
convits=350		 Clustering
Markov Clustering 1.0 I=2.7748748748748753 Clustering
Transitivity Clustering 0.0 T=1.1844122931356762 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=F		 Clustering