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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=17
samples=20		 Clustering
Self Organizing Maps 0.0 x=233
y=233		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=15
dc=1.4104703215341545		 Clustering
HDBSCAN 0.0 minPts=5
k=15		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=70		 Clustering
c-Means 0.0 k=19
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=57 Clustering
DIANA 0.0 metric=euclidean
k=89		 Clustering
DBSCAN 0.0 eps=0.3134378492298121
MinPts=17		 Clustering
Hierarchical Clustering 0.0 method=average
k=182		 Clustering
fanny 0.0 k=31
membexp=1.1		 Clustering
k-Means 0.0 k=76
nstart=10		 Clustering
DensityCut 0.0 alpha=0.03968253968253968
K=25		 Clustering
clusterONE 1.0 s=225
d=0.23333333333333334		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=1.1753919346117954
maxits=4250
convits=350		 Clustering
Markov Clustering 1.0 I=8.770570570570571 Clustering
Transitivity Clustering 0.0 T=1.0981306029072495 Clustering
MCODE 0.0 v=0.2
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering