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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=8.498024769428147		 Clustering
HDBSCAN 0.456 minPts=19
k=162		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=197		 Clustering
c-Means 0.0 k=200
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=198 Clustering
DIANA 0.0 metric=euclidean
k=200		 Clustering
DBSCAN 0.503 eps=6.677019461693544
MinPts=186		 Clustering
Hierarchical Clustering 0.0 method=average
k=197		 Clustering
fanny 0.05 k=8
membexp=9.110000000000001		 Clustering
k-Means 0.0 k=199
nstart=10		 Clustering
DensityCut 0.501 alpha=0.2583333333333333
K=3		 Clustering
clusterONE 0.148 s=2
d=0.6333333333333333		 Clustering
Markov Clustering 0.503 I=3.87957957957958 Clustering
Transitivity Clustering 0.0 T=7.765247858808216 Clustering
MCODE 0.389 v=0.5
cutoff=4.552513269336507
haircut=T
fluff=T		 Clustering