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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=21
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=34		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=18
dc=1.3054020414582301		 Clustering
HDBSCAN 0.0 minPts=49
k=205		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=57		 Clustering
c-Means 0.0 k=219
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=48 Clustering
DIANA 0.0 metric=euclidean
k=76		 Clustering
DBSCAN 0.0 eps=1.5664824497498762
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=average
k=196		 Clustering
fanny 0.0 k=79
membexp=2.0		 Clustering
k-Means 0.0 k=77
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9397321428571429
K=2		 Clustering
clusterONE 0.643 s=233
d=0.7333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=2.9371545932810177
maxits=2750
convits=425		 Clustering
Markov Clustering 0.643 I=7.55005005005005 Clustering
Transitivity Clustering 0.0 T=3.7280400643446754 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=F
fluff=T		 Clustering