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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=279
samples=20		 Clustering
Self Organizing Maps 0.0 x=12
y=135		 Clustering
Spectral Clustering 0.0 k=21 Clustering
clusterdp 0.0 k=15
dc=7.07180944941879		 Clustering
HDBSCAN 0.0 minPts=6
k=39		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=57		 Clustering
c-Means 0.0 k=158
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=39 Clustering
DIANA 0.0 metric=euclidean
k=122		 Clustering
DBSCAN 0.0 eps=2.020516985548226
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=average
k=307		 Clustering
fanny 0.0 k=26
membexp=5.0		 Clustering
k-Means 0.0 k=130
nstart=10		 Clustering
DensityCut 0.0 alpha=0.08035714285714286
K=3		 Clustering
clusterONE 0.669 s=83
d=0.0		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=22.73081608741754
maxits=5000
convits=425		 Clustering
Markov Clustering 0.669 I=8.993293293293295 Clustering
Transitivity Clustering 0.0 T=29.276259625436005 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=F		 Clustering