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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=149
samples=20		 Clustering
Self Organizing Maps 0.0 x=76
y=133		 Clustering
Spectral Clustering 0.0 k=83 Clustering
clusterdp 0.0 k=15
dc=1.7664000000000002		 Clustering
HDBSCAN 0.0 minPts=5
k=54		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=164		 Clustering
c-Means 0.0 k=129
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=146 Clustering
DIANA 0.0 metric=euclidean
k=203		 Clustering
DBSCAN 0.0 eps=2.8704000000000005
MinPts=216		 Clustering
Hierarchical Clustering 0.0 method=complete
k=226		 Clustering
fanny 0.0 k=91
membexp=5.0		 Clustering
k-Means 0.0 k=167
nstart=10		 Clustering
DensityCut 0.0 alpha=0.010841836734693874
K=3		 Clustering
clusterONE 0.502 s=50
d=1.0		 Clustering
Affinity Propagation 0.062 dampfact=0.9175
preference=2.484
maxits=4250
convits=500		 Clustering
Markov Clustering 0.502 I=3.9152152152152153 Clustering
Transitivity Clustering 0.0 T=3.245693693693694 Clustering
MCODE 0.021 v=0.8
cutoff=3.036
haircut=T
fluff=F		 Clustering