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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=82
samples=20		 Clustering
Self Organizing Maps 0.0 x=260
y=260		 Clustering
Spectral Clustering 0.0 k=31 Clustering
clusterdp 0.0 k=24
dc=26.266720812126938		 Clustering
HDBSCAN 0.0 minPts=15
k=267		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=122		 Clustering
c-Means 0.0 k=102
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=134 Clustering
DIANA 0.0 metric=euclidean
k=201		 Clustering
DBSCAN 0.0 eps=2.020516985548226
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=202		 Clustering
fanny 0.0 k=149
membexp=1.1		 Clustering
k-Means 0.0 k=199
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0511532738095238
K=7		 Clustering
clusterONE 0.669 s=270
d=0.6333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=22.73081608741754
maxits=2000
convits=350		 Clustering
Markov Clustering 0.669 I=6.1513513513513525 Clustering
Transitivity Clustering 0.0 T=28.36611683915302 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=F		 Clustering