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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=26
y=191		 Clustering
Spectral Clustering 0.0 k=22 Clustering
clusterdp 0.0 k=17
dc=1.3248		 Clustering
HDBSCAN 0.0 minPts=20
k=21		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=37		 Clustering
c-Means 0.0 k=232
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=52 Clustering
DIANA 0.0 metric=euclidean
k=119		 Clustering
DBSCAN 0.0 eps=2.6496
MinPts=158		 Clustering
Hierarchical Clustering 0.0 method=complete
k=188		 Clustering
fanny 0.0 k=100
membexp=5.0		 Clustering
k-Means 0.0 k=215
nstart=10		 Clustering
DensityCut 0.0 alpha=0.1607142857142857
K=5		 Clustering
clusterONE 0.502 s=250
d=0.13333333333333333		 Clustering
Affinity Propagation 0.062 dampfact=0.9175
preference=2.484
maxits=3500
convits=425		 Clustering
Markov Clustering 0.502 I=7.541141141141141 Clustering
Transitivity Clustering 0.0 T=3.20590990990991 Clustering
MCODE 0.021 v=0.9
cutoff=3.036
haircut=F
fluff=F		 Clustering