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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=207
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=142		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=14
dc=0.8880739061511342		 Clustering
HDBSCAN 0.0 minPts=12
k=250		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=28		 Clustering
c-Means 0.0 k=62
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=68 Clustering
DIANA 0.0 metric=euclidean
k=79		 Clustering
DBSCAN 0.0 eps=0.47015677384471816
MinPts=9		 Clustering
Hierarchical Clustering 0.0 method=complete
k=236		 Clustering
fanny 0.0 k=5
membexp=1.1		 Clustering
k-Means 0.0 k=57
nstart=10		 Clustering
DensityCut 0.0 alpha=0.42857142857142855
K=24		 Clustering
clusterONE 1.0 s=175
d=0.7333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=1.1753919346117954
maxits=4250
convits=275		 Clustering
Markov Clustering 1.0 I=3.2915915915915916 Clustering
Transitivity Clustering 0.0 T=1.5530704241116815 Clustering
MCODE 0.0 v=0.2
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering