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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 0.457 k=126 Clustering
clusterdp 0.664 k=420
dc=107.98570533738028		 Clustering
AGNES 0.714 method=weighted
metric=euclidean
k=275		 Clustering
c-Means 0.524 k=194
m=1.01		 Clustering
k-Medoids (PAM) 0.576 k=176 Clustering
DIANA 0.531 metric=euclidean
k=450		 Clustering
DBSCAN 0.261 eps=111.84233767085814
MinPts=768		 Clustering
Hierarchical Clustering 0.714 method=single
k=278		 Clustering
fanny 0.48 k=253
membexp=1.1		 Clustering
clusterONE 0.634 s=1
d=0.7		 Clustering
Affinity Propagation 0.544 dampfact=0.9175
preference=0.0
maxits=4250
convits=350		 Clustering
Markov Clustering 0.649 I=1.3138138138138138 Clustering
Transitivity Clustering 0.714 T=1.8530365566260023 Clustering
MCODE 0.463 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F		 Clustering