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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=1043 Clustering
clusterdp 1.0 k=942
dc=84.84591133651308		 Clustering
AGNES 1.0 method=average
metric=euclidean
k=702		 Clustering
c-Means 1.0 k=183
m=3.5		 Clustering
k-Medoids (PAM) 1.0 k=520 Clustering
DIANA 1.0 metric=euclidean
k=917		 Clustering
DBSCAN 1.0 eps=7.713264666955735
MinPts=733		 Clustering
Hierarchical Clustering 1.0 method=average
k=502		 Clustering
fanny 1.0 k=30
membexp=5.0		 Clustering
clusterONE 0.988 s=1
d=0.36666666666666664		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=86.774227503252
maxits=5000
convits=500		 Clustering
Markov Clustering 0.999 I=9.857457457457457 Clustering
Transitivity Clustering 1.0 T=65.31953862106658 Clustering
MCODE 0.68 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F		 Clustering