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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=75
samples=20		 Clustering
Self Organizing Maps 0.0 x=260
y=260		 Clustering
Spectral Clustering 0.0 k=41 Clustering
clusterdp 0.0 k=95
dc=25.25646231935282		 Clustering
HDBSCAN 0.0 minPts=4
k=50		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=277		 Clustering
c-Means 0.0 k=218
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=133 Clustering
DIANA 0.0 metric=euclidean
k=208		 Clustering
DBSCAN 0.0 eps=11.112843420515242
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=92		 Clustering
fanny 0.0 k=96
membexp=5.0		 Clustering
k-Means 0.0 k=102
nstart=10		 Clustering
DensityCut 0.0 alpha=0.2777777777777778
K=7		 Clustering
clusterONE 0.669 s=125
d=0.9		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=22.73081608741754
maxits=5000
convits=350		 Clustering
Markov Clustering 0.669 I=4.921921921921922 Clustering
Transitivity Clustering 0.0 T=26.48515508083485 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=T		 Clustering