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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=245
samples=20		 Clustering
Self Organizing Maps 0.0 x=76
y=133		 Clustering
Spectral Clustering 0.0 k=22 Clustering
clusterdp 0.0 k=20
dc=0.7728		 Clustering
HDBSCAN 0.0 minPts=5
k=8		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=116		 Clustering
c-Means 0.0 k=84
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=59 Clustering
DIANA 0.0 metric=euclidean
k=178		 Clustering
DBSCAN 0.0 eps=0.3312
MinPts=75		 Clustering
Hierarchical Clustering 0.0 method=single
k=81		 Clustering
fanny 0.0 k=86
membexp=5.0		 Clustering
k-Means 0.0 k=200
nstart=10		 Clustering
DensityCut 0.0 alpha=0.035713996206011074
K=4		 Clustering
clusterONE 1.0 s=216
d=0.5		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=3.3120000000000003
maxits=3500
convits=425		 Clustering
Markov Clustering 0.5 I=9.349649649649649 Clustering
Transitivity Clustering 0.0 T=3.1462342342342344 Clustering
MCODE 0.001 v=0.6
cutoff=3.036
haircut=T
fluff=T		 Clustering