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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=66
samples=20		 Clustering
Self Organizing Maps 0.0 x=76
y=133		 Clustering
Spectral Clustering 0.0 k=45 Clustering
clusterdp 0.0 k=23
dc=2.5392		 Clustering
HDBSCAN 0.0 minPts=1
k=226		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=210		 Clustering
c-Means 0.0 k=244
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=234 Clustering
DIANA 0.0 metric=euclidean
k=190		 Clustering
DBSCAN 0.0 eps=0.3312
MinPts=75		 Clustering
Hierarchical Clustering 0.0 method=average
k=188		 Clustering
fanny 0.0 k=46
membexp=5.0		 Clustering
k-Means 0.0 k=123
nstart=10		 Clustering
DensityCut 0.0 alpha=0.016741071428571418
K=3		 Clustering
clusterONE 1.0 s=1
d=0.23333333333333334		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=3.3120000000000003
maxits=2000
convits=500		 Clustering
Markov Clustering 0.5 I=9.242742742742744 Clustering
Transitivity Clustering 0.0 T=2.973837837837838 Clustering
MCODE 0.001 v=0.6
cutoff=3.036
haircut=F
fluff=T		 Clustering