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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 1.0 metric=euclidean
k=23
samples=20		 Clustering
Self Organizing Maps 1.0 x=2
y=9		 Clustering
Spectral Clustering 1.0 k=18 Clustering
clusterdp 1.0 k=22
dc=3.6551257160830444		 Clustering
HDBSCAN 1.0 minPts=60
k=250		 Clustering
AGNES 1.0 method=average
metric=euclidean
k=49		 Clustering
c-Means 1.0 k=227
m=2.25		 Clustering
k-Medoids (PAM) 1.0 k=198 Clustering
DIANA 1.0 metric=euclidean
k=199		 Clustering
DBSCAN 1.0 eps=0.522160816583292
MinPts=9		 Clustering
Hierarchical Clustering 1.0 method=single
k=176		 Clustering
fanny 1.0 k=101
membexp=5.0		 Clustering
k-Means 1.0 k=95
nstart=10		 Clustering
DensityCut 1.0 alpha=0.8095238095238095
K=12		 Clustering
clusterONE 0.0 s=25
d=0.36666666666666664		 Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=0.9790515310936726
maxits=4250
convits=200		 Clustering
Markov Clustering 0.0 I=4.12012012012012 Clustering
Transitivity Clustering 1.0 T=2.755848754189597 Clustering
MCODE 0.999 v=0.9
cutoff=3.589855614010133
haircut=F
fluff=F		 Clustering