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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=48
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=9		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=2
dc=3.2635051036455756		 Clustering
HDBSCAN 0.0 minPts=5
k=83		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=110		 Clustering
c-Means 0.0 k=137
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=168 Clustering
DIANA 0.0 metric=euclidean
k=35		 Clustering
DBSCAN 0.0 eps=1.5664824497498762
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=average
k=4		 Clustering
fanny 0.0 k=84
membexp=5.0		 Clustering
k-Means 0.0 k=230
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9875
K=12		 Clustering
clusterONE 1.0 s=175
d=0.2		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.9581030621873452
maxits=3500
convits=350		 Clustering
Markov Clustering 1.0 I=2.8995995995996 Clustering
Transitivity Clustering 0.0 T=2.8028902691971007 Clustering
MCODE 0.001 v=0.8
cutoff=3.589855614010133
haircut=T
fluff=F		 Clustering