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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=67
samples=20		 Clustering
Self Organizing Maps 0.0 x=239
y=280		 Clustering
Spectral Clustering 0.0 k=29 Clustering
clusterdp 0.0 k=11
dc=21.21542834825637		 Clustering
HDBSCAN 0.0 minPts=7
k=156		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=183		 Clustering
c-Means 0.0 k=56
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=251 Clustering
DIANA 0.0 metric=euclidean
k=68		 Clustering
DBSCAN 0.0 eps=28.28723779767516
MinPts=239		 Clustering
Hierarchical Clustering 0.0 method=single
k=89		 Clustering
fanny 0.0 k=89
membexp=1.1		 Clustering
k-Means 0.0 k=133
nstart=10		 Clustering
DensityCut 0.0 alpha=0.04278273809523809
K=3		 Clustering
clusterONE 0.669 s=104
d=0.06666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=22.73081608741754
maxits=5000
convits=350		 Clustering
Markov Clustering 0.669 I=4.414114114114115 Clustering
Transitivity Clustering 0.0 T=30.06505004021459 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=F		 Clustering