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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=236
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=34		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=23
dc=0.522160816583292		 Clustering
HDBSCAN 0.0 minPts=35
k=205		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=204		 Clustering
c-Means 0.0 k=89
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=213 Clustering
DIANA 0.0 metric=euclidean
k=22		 Clustering
DBSCAN 0.0 eps=1.5664824497498762
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=complete
k=34		 Clustering
fanny 0.0 k=64
membexp=5.0		 Clustering
k-Means 0.0 k=156
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9625
K=9		 Clustering
clusterONE 1.0 s=167
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.9790515310936726
maxits=2750
convits=500		 Clustering
Markov Clustering 1.0 I=5.42082082082082 Clustering
Transitivity Clustering 0.0 T=2.755848754189597 Clustering
MCODE 0.001 v=0.9
cutoff=3.589855614010133
haircut=T
fluff=T		 Clustering