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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=7
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=9		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=13
dc=0.5746360569213221		 Clustering
HDBSCAN 0.0 minPts=107
k=178		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=137		 Clustering
c-Means 0.0 k=52
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=30 Clustering
DIANA 0.0 metric=euclidean
k=18		 Clustering
DBSCAN 0.0 eps=1.0447928307660403
MinPts=167		 Clustering
Hierarchical Clustering 0.0 method=average
k=88		 Clustering
fanny 0.0 k=111
membexp=2.0		 Clustering
k-Means 0.0 k=68
nstart=10		 Clustering
DensityCut 0.0 alpha=0.17857142857142855
K=35		 Clustering
clusterONE 1.0 s=1
d=0.16666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.3917973115372651
maxits=5000
convits=200		 Clustering
Markov Clustering 1.0 I=7.1224224224224235 Clustering
Transitivity Clustering 0.0 T=0.9977300906414439 Clustering
MCODE 0.0 v=0.5
cutoff=1.2406914865346728
haircut=F
fluff=F		 Clustering