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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=24
dc=0.9558401649021318		 Clustering
AGNES 1.0 method=average
metric=euclidean
k=180		 Clustering
c-Means 1.0 k=146
m=2.25		 Clustering
k-Medoids (PAM) 1.0 k=184 Clustering
DIANA 1.0 metric=euclidean
k=178		 Clustering
DBSCAN 0.0 eps=0.8835786165601653
MinPts=171		 Clustering
Hierarchical Clustering 1.0 method=complete
k=184		 Clustering
fanny 1.0 k=61
membexp=1.1		 Clustering
clusterONE 0.0 s=108
d=0.6666666666666666		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=1.0000000000000002
maxits=5000
convits=500		 Clustering
Markov Clustering 0.0 I=8.85965965965966 Clustering
Transitivity Clustering 1.0 T=0.999397217648132 Clustering
MCODE 0.789 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=F		 Clustering