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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=197
samples=20		 Clustering
Self Organizing Maps 1.0 x=61
y=153		 Clustering
Spectral Clustering 0.995 k=110 Clustering
clusterdp 0.957 k=3
dc=4.856014153958941		 Clustering
HDBSCAN 1.0 minPts=133
k=200		 Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=200		 Clustering
c-Means 1.0 k=42
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=199 Clustering
DIANA 1.0 metric=euclidean
k=200		 Clustering
DBSCAN 1.0 eps=0.6070017692448676
MinPts=34		 Clustering
Hierarchical Clustering 1.0 method=complete
k=200		 Clustering
fanny 1.0 k=21
membexp=6.44		 Clustering
k-Means 1.0 k=198
nstart=10		 Clustering
DensityCut 0.267 alpha=0.4583333333333333
K=3		 Clustering
clusterONE 0.98 s=8
d=0.6		 Clustering
Markov Clustering 0.0 I=6.685885885885886 Clustering
Transitivity Clustering 1.0 T=9.059455835276252 Clustering
MCODE 0.937 v=0.2
cutoff=4.552513269336507
haircut=T
fluff=T		 Clustering