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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=3
samples=20		 Clustering
Self Organizing Maps 0.769 x=18
y=84		 Clustering
Spectral Clustering 0.727 k=22 Clustering
clusterdp 1.0 k=7
dc=1.4627099630724563		 Clustering
HDBSCAN 1.0 minPts=3
k=6		 Clustering
AGNES 1.0 method=complete
metric=euclidean
k=4		 Clustering
c-Means 1.0 k=4
m=5.0		 Clustering
k-Medoids (PAM) 1.0 k=4 Clustering
DIANA 0.857 metric=euclidean
k=7		 Clustering
DBSCAN 1.0 eps=1.2015117553809462
MinPts=183		 Clustering
Hierarchical Clustering 1.0 method=complete
k=3		 Clustering
fanny 1.0 k=5
membexp=1.1		 Clustering
k-Means 1.0 k=5
nstart=10		 Clustering
DensityCut 1.0 alpha=0.23809523809523808
K=12		 Clustering
clusterONE 0.0 s=133
d=0.2		 Clustering
Affinity Propagation 0.748 dampfact=0.845
preference=0.0
maxits=4250
convits=425		 Clustering
Markov Clustering 0.0 I=1.206906906906907 Clustering
Transitivity Clustering 0.945 T=0.9977300906414439 Clustering
MCODE 0.826 v=0.2
cutoff=0.7182950711516526
haircut=F
fluff=F		 Clustering