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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 1.0 metric=euclidean
k=188
samples=20		 Clustering
Self Organizing Maps 1.0 x=241
y=125		 Clustering
Spectral Clustering 1.0 k=18 Clustering
clusterdp 1.0 k=8
dc=2.8718844912081063		 Clustering
HDBSCAN 1.0 minPts=9
k=129		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=25		 Clustering
c-Means 1.0 k=33
m=5.0		 Clustering
k-Medoids (PAM) 1.0 k=236 Clustering
DIANA 1.0 metric=euclidean
k=98		 Clustering
DBSCAN 1.0 eps=0.261080408291646
MinPts=42		 Clustering
Hierarchical Clustering 1.0 method=average
k=98		 Clustering
fanny 1.0 k=59
membexp=2.0		 Clustering
k-Means 1.0 k=82
nstart=10		 Clustering
DensityCut 1.0 alpha=0.9384765625
K=5		 Clustering
clusterONE 0.0 s=225
d=0.7666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.7725
preference=2.9371545932810177
maxits=5000
convits=275		 Clustering
Markov Clustering 0.0 I=3.888488488488489 Clustering
Transitivity Clustering 1.0 T=3.912285998124065 Clustering
MCODE 0.999 v=0.9
cutoff=3.589855614010133
haircut=F
fluff=F		 Clustering