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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=197
samples=20		 Clustering
Self Organizing Maps 0.051 x=200
y=160		 Clustering
Spectral Clustering 0.068 k=4 Clustering
clusterdp 0.355 k=13
dc=9.105026538673014		 Clustering
HDBSCAN 0.456 minPts=19
k=162		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=197		 Clustering
c-Means 0.0 k=198
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=198 Clustering
DIANA 0.0 metric=euclidean
k=200		 Clustering
DBSCAN 0.503 eps=0.6070017692448676
MinPts=153		 Clustering
Hierarchical Clustering 0.0 method=complete
k=198		 Clustering
fanny 0.05 k=8
membexp=9.110000000000001		 Clustering
k-Means 0.0 k=198
nstart=10		 Clustering
DensityCut 0.501 alpha=0.3333333333333333
K=3		 Clustering
clusterONE 0.148 s=6
d=0.6666666666666666		 Clustering
Markov Clustering 0.503 I=4.904104104104105 Clustering
Transitivity Clustering 0.0 T=7.6376498892972835 Clustering
MCODE 0.389 v=0.6
cutoff=4.552513269336507
haircut=F
fluff=T		 Clustering