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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=1
samples=20		 Clustering
Self Organizing Maps 0.987 x=2
y=1		 Clustering
Spectral Clustering 1.0 k=13 Clustering
clusterdp 1.0 k=6
dc=10.689836641304568		 Clustering
HDBSCAN 1.0 minPts=400
k=29		 Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=13		 Clustering
c-Means 1.0 k=2
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=2 Clustering
DIANA 1.0 metric=euclidean
k=56		 Clustering
DBSCAN 1.0 eps=2.7886530368620615
MinPts=1		 Clustering
Hierarchical Clustering 1.0 method=average
k=2		 Clustering
fanny 1.0 k=16
membexp=5.0		 Clustering
k-Means 1.0 k=5
nstart=10		 Clustering
DensityCut 1.0 alpha=0.6309523809523809
K=48		 Clustering
clusterONE 1.0 s=120
d=0.7333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=0.0
maxits=2000
convits=200		 Clustering
Markov Clustering 1.0 I=4.182482482482483 Clustering
Transitivity Clustering 1.0 T=10.537702917071353 Clustering
MCODE 0.909 v=0.7
cutoff=12.781326418951116
haircut=T
fluff=T		 Clustering