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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 1.0 metric=euclidean
k=219
samples=20		 Clustering
Self Organizing Maps 1.0 x=183
y=150		 Clustering
Spectral Clustering 1.0 k=7 Clustering
clusterdp 1.0 k=8
dc=2.6496		 Clustering
HDBSCAN 1.0 minPts=238
k=202		 Clustering
AGNES 1.0 method=average
metric=euclidean
k=228		 Clustering
c-Means 1.0 k=159
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=102 Clustering
DIANA 1.0 metric=euclidean
k=144		 Clustering
DBSCAN 1.0 eps=0.0
MinPts=42		 Clustering
Hierarchical Clustering 1.0 method=average
k=221		 Clustering
fanny 1.0 k=93
membexp=1.1		 Clustering
k-Means 1.0 k=89
nstart=10		 Clustering
DensityCut 1.0 alpha=0.06505102040816325
K=3		 Clustering
clusterONE 0.0 s=133
d=0.4666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=3.3120000000000003
maxits=5000
convits=425		 Clustering
Markov Clustering 0.5 I=8.770570570570571 Clustering
Transitivity Clustering 1.0 T=3.3120000000000003 Clustering
MCODE 0.999 v=0.9
cutoff=3.036
haircut=F
fluff=F		 Clustering