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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=73
samples=20		 Clustering
Self Organizing Maps 0.0 x=312
y=249		 Clustering
Spectral Clustering 0.0 k=11 Clustering
clusterdp 0.0 k=8
dc=24.24620382657871		 Clustering
HDBSCAN 0.0 minPts=6
k=35		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=148		 Clustering
c-Means 0.0 k=174
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=44 Clustering
DIANA 0.0 metric=euclidean
k=51		 Clustering
DBSCAN 0.0 eps=2.020516985548226
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=single
k=254		 Clustering
fanny 0.0 k=26
membexp=5.0		 Clustering
k-Means 0.0 k=102
nstart=10		 Clustering
DensityCut 0.0 alpha=0.09375
K=6		 Clustering
clusterONE 0.669 s=42
d=0.06666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=15.153877391611694
maxits=2000
convits=350		 Clustering
Markov Clustering 0.669 I=5.296096096096097 Clustering
Transitivity Clustering 0.0 T=30.06505004021459 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=T		 Clustering