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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=58
samples=20		 Clustering
Self Organizing Maps 0.0 x=134
y=175		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=12
dc=1.8275628580415222		 Clustering
HDBSCAN 0.0 minPts=5
k=130		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=64		 Clustering
c-Means 0.0 k=94
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=54 Clustering
DIANA 0.0 metric=euclidean
k=160		 Clustering
DBSCAN 0.0 eps=1.5664824497498762
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=complete
k=205		 Clustering
fanny 0.0 k=28
membexp=2.0		 Clustering
k-Means 0.0 k=77
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9374999962747097
K=5		 Clustering
clusterONE 0.643 s=125
d=0.3		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.9790515310936726
maxits=2750
convits=200		 Clustering
Markov Clustering 0.643 I=4.476476476476477 Clustering
Transitivity Clustering 0.0 T=3.0851393592421235 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=F
fluff=F		 Clustering