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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=83
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=9		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=11
dc=2.3497236746248142		 Clustering
HDBSCAN 0.0 minPts=1
k=178		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=234		 Clustering
c-Means 0.0 k=39
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=23 Clustering
DIANA 0.0 metric=euclidean
k=223		 Clustering
DBSCAN 0.0 eps=1.5664824497498762
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=average
k=132		 Clustering
fanny 0.0 k=29
membexp=2.0		 Clustering
k-Means 0.0 k=143
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9374999990686774
K=5		 Clustering
clusterONE 1.0 s=117
d=0.5666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.0
maxits=5000
convits=425		 Clustering
Markov Clustering 1.0 I=4.129029029029029 Clustering
Transitivity Clustering 0.0 T=2.6735261029264654 Clustering
MCODE 0.001 v=0.9
cutoff=3.589855614010133
haircut=T
fluff=T		 Clustering