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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=190 Clustering
clusterdp 0.33 k=22
dc=1.0000000000000002		 Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=171		 Clustering
c-Means 1.0 k=5
m=3.5		 Clustering
k-Medoids (PAM) 1.0 k=170 Clustering
DIANA 1.0 metric=euclidean
k=181		 Clustering
DBSCAN 0.0 eps=0.9076657993408208
MinPts=51		 Clustering
Hierarchical Clustering 1.0 method=complete
k=186		 Clustering
fanny 1.0 k=13
membexp=5.0		 Clustering
clusterONE 0.0 s=101
d=0.6		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=1.0000000000000002
maxits=4250
convits=500		 Clustering
Markov Clustering 0.0 I=9.91091091091091 Clustering
Transitivity Clustering 1.0 T=0.999758887059253 Clustering
MCODE 0.789 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T		 Clustering