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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=58
samples=20		 Clustering
Self Organizing Maps 1.0 x=117
y=9		 Clustering
Spectral Clustering 1.0 k=8 Clustering
clusterdp 1.0 k=11
dc=1.3248		 Clustering
HDBSCAN 1.0 minPts=23
k=17		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=231		 Clustering
c-Means 1.0 k=50
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=60 Clustering
DIANA 1.0 metric=euclidean
k=129		 Clustering
DBSCAN 1.0 eps=0.0
MinPts=42		 Clustering
Hierarchical Clustering 1.0 method=complete
k=70		 Clustering
fanny 1.0 k=88
membexp=2.0		 Clustering
k-Means 1.0 k=190
nstart=10		 Clustering
DensityCut 1.0 alpha=0.03214285714285714
K=9		 Clustering
clusterONE 0.0 s=191
d=0.7666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=3.3120000000000003
maxits=2750
convits=425		 Clustering
Markov Clustering 0.5 I=9.055655655655656 Clustering
Transitivity Clustering 1.0 T=3.242378378378379 Clustering
MCODE 0.999 v=0.9
cutoff=3.036
haircut=F
fluff=F		 Clustering