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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=216
samples=20		 Clustering
Self Organizing Maps 0.0 x=233
y=125		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=22
dc=1.4359422456040531		 Clustering
HDBSCAN 0.0 minPts=10
k=155		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=64		 Clustering
c-Means 0.0 k=244
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=225 Clustering
DIANA 0.0 metric=euclidean
k=155		 Clustering
DBSCAN 0.0 eps=1.044321633166584
MinPts=241		 Clustering
Hierarchical Clustering 0.0 method=complete
k=124		 Clustering
fanny 0.0 k=34
membexp=2.0		 Clustering
k-Means 0.0 k=248
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9453125
K=9		 Clustering
clusterONE 0.643 s=233
d=0.5333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=2.9371545932810177
maxits=2750
convits=200		 Clustering
Markov Clustering 0.643 I=7.835135135135136 Clustering
Transitivity Clustering 0.0 T=3.884845114369688 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=F
fluff=F		 Clustering