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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=249
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=42		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=22
dc=0.47015677384471816		 Clustering
HDBSCAN 0.0 minPts=36
k=214		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=9		 Clustering
c-Means 0.0 k=7
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=24 Clustering
DIANA 0.0 metric=euclidean
k=63		 Clustering
DBSCAN 0.0 eps=1.3059910384575502
MinPts=208		 Clustering
Hierarchical Clustering 0.0 method=average
k=105		 Clustering
fanny 0.0 k=71
membexp=1.1		 Clustering
k-Means 0.0 k=114
nstart=10		 Clustering
DensityCut 0.0 alpha=0.078125
K=6		 Clustering
clusterONE 0.739 s=25
d=0.6333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.7835946230745302
maxits=4250
convits=350		 Clustering
Markov Clustering 0.739 I=7.327327327327327 Clustering
Transitivity Clustering 0.0 T=1.2252000012436597 Clustering
MCODE 0.0 v=0.4
cutoff=1.3059910384575504
haircut=T
fluff=F		 Clustering