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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=16
samples=20		 Clustering
Self Organizing Maps 0.0 x=150
y=108		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=4
dc=1.5149496046107584		 Clustering
HDBSCAN 0.0 minPts=20
k=35		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=5		 Clustering
c-Means 0.0 k=184
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=122 Clustering
DIANA 0.0 metric=euclidean
k=23		 Clustering
DBSCAN 0.0 eps=0.20895856615320804
MinPts=34		 Clustering
Hierarchical Clustering 0.0 method=average
k=183		 Clustering
fanny 0.0 k=74
membexp=5.0		 Clustering
k-Means 0.0 k=94
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0
K=30		 Clustering
clusterONE 0.739 s=50
d=0.0		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.0
maxits=2000
convits=275		 Clustering
Markov Clustering 0.739 I=9.483283283283283 Clustering
Transitivity Clustering 0.0 T=1.071461716836645 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering