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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=3
samples=20		 Clustering
Self Organizing Maps 0.0 x=109
y=84		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=2
dc=0.36567749076811407		 Clustering
HDBSCAN 0.0 minPts=1
k=131		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=40		 Clustering
c-Means 0.0 k=89
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=188 Clustering
DIANA 0.0 metric=euclidean
k=126		 Clustering
DBSCAN 0.0 eps=0.20895856615320804
MinPts=34		 Clustering
Hierarchical Clustering 0.0 method=complete
k=132		 Clustering
fanny 0.0 k=57
membexp=5.0		 Clustering
k-Means 0.0 k=96
nstart=10		 Clustering
DensityCut 0.0 alpha=0.04507688492063492
K=13		 Clustering
clusterONE 0.739 s=233
d=0.5333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.3917973115372651
maxits=2750
convits=275		 Clustering
Markov Clustering 0.739 I=8.628028028028028 Clustering
Transitivity Clustering 0.0 T=1.408744687729586 Clustering
MCODE 0.0 v=0.5
cutoff=1.2406914865346728
haircut=T
fluff=F		 Clustering