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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=133
samples=20		 Clustering
Self Organizing Maps 0.0 x=312
y=291		 Clustering
Spectral Clustering 0.0 k=60 Clustering
clusterdp 0.0 k=16
dc=26.266720812126938		 Clustering
HDBSCAN 0.0 minPts=17
k=129		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=57		 Clustering
c-Means 0.0 k=66
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=76 Clustering
DIANA 0.0 metric=euclidean
k=40		 Clustering
DBSCAN 0.0 eps=14.14361889883758
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=average
k=174		 Clustering
fanny 0.0 k=89
membexp=2.0		 Clustering
k-Means 0.0 k=293
nstart=10		 Clustering
DensityCut 0.0 alpha=0.06430697278911565
K=2		 Clustering
clusterONE 1.0 s=218
d=0.8		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=15.153877391611694
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=9.242742742742744 Clustering
Transitivity Clustering 0.0 T=26.54583126658705 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=T		 Clustering