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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=109
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=84		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=3
dc=0.261080408291646		 Clustering
HDBSCAN 0.0 minPts=36
k=238		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=110		 Clustering
c-Means 0.0 k=139
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=241 Clustering
DIANA 0.0 metric=euclidean
k=115		 Clustering
DBSCAN 0.0 eps=0.130540204145823
MinPts=67		 Clustering
Hierarchical Clustering 0.0 method=average
k=32		 Clustering
fanny 0.0 k=84
membexp=5.0		 Clustering
k-Means 0.0 k=138
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9625
K=12		 Clustering
clusterONE 0.643 s=233
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=2.9371545932810177
maxits=4250
convits=425		 Clustering
Markov Clustering 0.643 I=7.585685685685686 Clustering
Transitivity Clustering 0.0 T=3.582995393071539 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=T
fluff=T		 Clustering