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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=109
samples=20		 Clustering
Self Organizing Maps 0.0 x=76
y=183		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=9
dc=1.3054020414582301		 Clustering
HDBSCAN 0.0 minPts=6
k=46		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=210		 Clustering
c-Means 0.0 k=89
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=51 Clustering
DIANA 0.0 metric=euclidean
k=132		 Clustering
DBSCAN 0.0 eps=2.6108040829164603
MinPts=158		 Clustering
Hierarchical Clustering 0.0 method=complete
k=49		 Clustering
fanny 0.0 k=74
membexp=5.0		 Clustering
k-Means 0.0 k=183
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9374999962747097
K=5		 Clustering
clusterONE 0.643 s=108
d=0.03333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=2.9371545932810177
maxits=5000
convits=350		 Clustering
Markov Clustering 0.643 I=2.07997997997998 Clustering
Transitivity Clustering 0.0 T=3.582995393071539 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=T
fluff=T		 Clustering