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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=107
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=92		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=5
dc=0.9403135476894363		 Clustering
HDBSCAN 0.0 minPts=5
k=30		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=7		 Clustering
c-Means 0.0 k=194
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=65 Clustering
DIANA 0.0 metric=euclidean
k=232		 Clustering
DBSCAN 0.0 eps=0.20895856615320804
MinPts=34		 Clustering
Hierarchical Clustering 0.0 method=average
k=64		 Clustering
fanny 0.0 k=117
membexp=1.1		 Clustering
k-Means 0.0 k=141
nstart=10		 Clustering
DensityCut 0.0 alpha=0.08541666666666667
K=30		 Clustering
clusterONE 0.739 s=133
d=0.5		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.3917973115372651
maxits=3500
convits=500		 Clustering
Markov Clustering 0.739 I=9.091291291291292 Clustering
Transitivity Clustering 0.0 T=1.408744687729586 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=F
fluff=T		 Clustering