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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=233
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=250		 Clustering
Spectral Clustering 0.0 k=45 Clustering
clusterdp 0.0 k=16
dc=0.8832000000000001		 Clustering
HDBSCAN 0.0 minPts=3
k=22		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=243		 Clustering
c-Means 0.0 k=202
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=166 Clustering
DIANA 0.0 metric=euclidean
k=181		 Clustering
DBSCAN 0.0 eps=2.7600000000000002
MinPts=191		 Clustering
Hierarchical Clustering 0.0 method=complete
k=56		 Clustering
fanny 0.0 k=53
membexp=5.0		 Clustering
k-Means 0.0 k=68
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05468749999999998
K=4		 Clustering
clusterONE 1.0 s=75
d=0.03333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=3.3120000000000003
maxits=4250
convits=500		 Clustering
Markov Clustering 0.5 I=9.002202202202202 Clustering
Transitivity Clustering 0.0 T=2.9771531531531537 Clustering
MCODE 0.001 v=0.8
cutoff=3.036
haircut=F
fluff=T		 Clustering