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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=74
samples=20		 Clustering
Self Organizing Maps 1.0 x=2
y=9		 Clustering
Spectral Clustering 1.0 k=18 Clustering
clusterdp 1.0 k=14
dc=2.219183470478991		 Clustering
HDBSCAN 1.0 minPts=5
k=79		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=64		 Clustering
c-Means 1.0 k=52
m=5.0		 Clustering
k-Medoids (PAM) 1.0 k=66 Clustering
DIANA 1.0 metric=euclidean
k=154		 Clustering
DBSCAN 1.0 eps=2.219183470478991
MinPts=191		 Clustering
Hierarchical Clustering 1.0 method=average
k=191		 Clustering
fanny 1.0 k=38
membexp=5.0		 Clustering
k-Means 1.0 k=203
nstart=10		 Clustering
DensityCut 1.0 alpha=0.9374923706054688
K=5		 Clustering
clusterONE 0.0 s=25
d=0.4666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=3.9162061243746904
maxits=5000
convits=200		 Clustering
Markov Clustering 0.0 I=8.066766766766767 Clustering
Transitivity Clustering 1.0 T=2.7048871129314676 Clustering
MCODE 0.999 v=0.9
cutoff=3.589855614010133
haircut=F
fluff=F		 Clustering