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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=101
samples=20		 Clustering
Self Organizing Maps 0.0 x=300
y=280		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=25
dc=0.9765301383526837		 Clustering
HDBSCAN 0.0 minPts=50
k=190		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=176		 Clustering
c-Means 0.0 k=53
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=143 Clustering
DIANA 0.0 metric=euclidean
k=244		 Clustering
DBSCAN 0.0 eps=12.694891798584885
MinPts=220		 Clustering
Hierarchical Clustering 0.0 method=single
k=213		 Clustering
fanny 0.0 k=138
membexp=5.0		 Clustering
k-Means 0.0 k=191
nstart=10		 Clustering
DensityCut 0.0 alpha=0.12144274376417233
K=2		 Clustering
clusterONE 1.0 s=110
d=0.6333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=29.29590415058051
maxits=5000
convits=500		 Clustering
Markov Clustering 0.352 I=9.055655655655656 Clustering
Transitivity Clustering 0.0 T=27.800317452202524 Clustering