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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=179
samples=20		 Clustering
Self Organizing Maps 0.0 x=68
y=42		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=13
dc=3.1329648994997523		 Clustering
HDBSCAN 0.0 minPts=238
k=238		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=55		 Clustering
c-Means 0.0 k=234
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=165 Clustering
DIANA 0.0 metric=euclidean
k=246		 Clustering
DBSCAN 0.0 eps=1.5664824497498762
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=complete
k=221		 Clustering
fanny 0.0 k=51
membexp=1.1		 Clustering
k-Means 0.0 k=195
nstart=10		 Clustering
DensityCut 0.0 alpha=0.95
K=15		 Clustering
clusterONE 1.0 s=42
d=0.23333333333333334		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=2.9371545932810177
maxits=5000
convits=500		 Clustering
Markov Clustering 1.0 I=6.374074074074075 Clustering
Transitivity Clustering 0.0 T=2.893053172961483 Clustering
MCODE 0.001 v=0.6
cutoff=3.589855614010133
haircut=F
fluff=T		 Clustering