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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
CLARA 0.0 metric=euclidean
k=23
samples=20		 Clustering
Self Organizing Maps 0.0 x=183
y=92		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=10
dc=0.10447928307660402		 Clustering
HDBSCAN 0.0 minPts=95
k=238		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=4		 Clustering
c-Means 0.0 k=4
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=93 Clustering
DIANA 0.0 metric=euclidean
k=26		 Clustering
DBSCAN 0.0 eps=0.47015677384471816
MinPts=250		 Clustering
Hierarchical Clustering 0.0 method=average
k=157		 Clustering
fanny 0.0 k=92
membexp=1.1		 Clustering
k-Means 0.0 k=131
nstart=10		 Clustering
DensityCut 0.0 alpha=0.10982142857142856
K=24		 Clustering
clusterONE 1.0 s=9
d=0.16666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=0.3917973115372651
maxits=5000
convits=425		 Clustering
Markov Clustering 1.0 I=2.0621621621621626 Clustering
Transitivity Clustering 0.0 T=1.2393188232810388 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering