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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 1.0 metric=euclidean
k=222
samples=20		 Clustering
Self Organizing Maps 1.0 x=250
y=241		 Clustering
Spectral Clustering 1.0 k=9 Clustering
clusterdp 1.0 k=6
dc=1.5456		 Clustering
HDBSCAN 1.0 minPts=1
k=250		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=183		 Clustering
c-Means 1.0 k=162
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=86 Clustering
DIANA 1.0 metric=euclidean
k=77		 Clustering
DBSCAN 1.0 eps=1.6560000000000001
MinPts=216		 Clustering
Hierarchical Clustering 1.0 method=single
k=121		 Clustering
fanny 1.0 k=52
membexp=5.0		 Clustering
k-Means 1.0 k=220
nstart=10		 Clustering
DensityCut 1.0 alpha=0.024330357142857133
K=5		 Clustering
clusterONE 0.0 s=183
d=0.1		 Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=3.3120000000000003
maxits=2750
convits=275		 Clustering
Markov Clustering 0.5 I=8.85075075075075 Clustering
Transitivity Clustering 1.0 T=3.239063063063063 Clustering
MCODE 0.999 v=0.9
cutoff=3.036
haircut=F
fluff=F		 Clustering