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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=230
samples=20		 Clustering
Self Organizing Maps 0.0 x=12
y=135		 Clustering
Spectral Clustering 0.0 k=86 Clustering
clusterdp 0.0 k=18
dc=28.28723779767516		 Clustering
HDBSCAN 0.0 minPts=6
k=89		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=63		 Clustering
c-Means 0.0 k=196
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=75 Clustering
DIANA 0.0 metric=euclidean
k=298		 Clustering
DBSCAN 0.0 eps=22.225686841030484
MinPts=260		 Clustering
Hierarchical Clustering 0.0 method=average
k=115		 Clustering
fanny 0.0 k=136
membexp=5.0		 Clustering
k-Means 0.0 k=195
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05743117559523809
K=7		 Clustering
clusterONE 1.0 s=146
d=0.5333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=15.153877391611694
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=9.964364364364364 Clustering
Transitivity Clustering 0.0 T=30.06505004021459 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=F		 Clustering