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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
Spectral Clustering 1.0 k=189 Clustering
clusterdp 0.33 k=5
dc=0.9718982867559022		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=171		 Clustering
c-Means 1.0 k=165
m=5.0		 Clustering
k-Medoids (PAM) 1.0 k=187 Clustering
DIANA 1.0 metric=euclidean
k=187		 Clustering
DBSCAN 0.0 eps=0.9759128172193446
MinPts=152		 Clustering
Hierarchical Clustering 1.0 method=average
k=189		 Clustering
fanny 1.0 k=16
membexp=5.0		 Clustering
clusterONE 0.0 s=120
d=0.3333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=1.0000000000000002
maxits=2750
convits=275		 Clustering
Markov Clustering 0.0 I=9.492192192192192 Clustering
Transitivity Clustering 1.0 T=0.999397217648132 Clustering
MCODE 0.789 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=F		 Clustering