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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=219
samples=20		 Clustering
Self Organizing Maps 0.0 x=18
y=84		 Clustering
Spectral Clustering 0.0 k=77 Clustering
clusterdp 0.0 k=2
dc=1.104		 Clustering
HDBSCAN 0.0 minPts=1
k=17		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=231		 Clustering
c-Means 0.0 k=242
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=50 Clustering
DIANA 0.0 metric=euclidean
k=78		 Clustering
DBSCAN 0.0 eps=2.7600000000000002
MinPts=191		 Clustering
Hierarchical Clustering 0.0 method=single
k=210		 Clustering
fanny 0.0 k=119
membexp=5.0		 Clustering
k-Means 0.0 k=152
nstart=10		 Clustering
DensityCut 0.0 alpha=0.06428571428571428
K=5		 Clustering
clusterONE 1.0 s=167
d=0.7333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=2.484
maxits=5000
convits=500		 Clustering
Markov Clustering 0.5 I=8.432032032032032 Clustering
Transitivity Clustering 0.0 T=2.973837837837838 Clustering
MCODE 0.001 v=0.8
cutoff=3.036
haircut=F
fluff=T		 Clustering