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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=115
samples=20		 Clustering
Self Organizing Maps 0.0 x=300
y=230		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=23
dc=0.9765301383526837		 Clustering
HDBSCAN 0.0 minPts=86
k=214		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=103		 Clustering
c-Means 0.0 k=224
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=102 Clustering
DIANA 0.0 metric=euclidean
k=159		 Clustering
DBSCAN 0.0 eps=13.671421936937572
MinPts=230		 Clustering
Hierarchical Clustering 0.0 method=complete
k=191		 Clustering
fanny 0.0 k=99
membexp=5.0		 Clustering
k-Means 0.0 k=92
nstart=10		 Clustering
DensityCut 0.005 alpha=0.19117063492063488
K=2		 Clustering
clusterONE 0.667 s=220
d=0.23333333333333334		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=21.97192811293538
maxits=5000
convits=500		 Clustering
Markov Clustering 0.471 I=9.866366366366366 Clustering
Transitivity Clustering 0.0 T=29.149278003680706 Clustering