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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=196
samples=20		 Clustering
Self Organizing Maps 0.0 x=200
y=160		 Clustering
Spectral Clustering 0.005 k=110 Clustering
clusterdp 0.043 k=3
dc=4.856014153958941		 Clustering
HDBSCAN 0.0 minPts=105
k=200		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=197		 Clustering
c-Means 0.0 k=43
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=198 Clustering
DIANA 0.0 metric=euclidean
k=200		 Clustering
DBSCAN 0.0 eps=13.961040692631956
MinPts=40		 Clustering
Hierarchical Clustering 0.0 method=complete
k=199		 Clustering
fanny 0.0 k=87
membexp=2.5833333333333335		 Clustering
k-Means 0.0 k=199
nstart=10		 Clustering
DensityCut 0.733 alpha=0.4583333333333333
K=3		 Clustering
clusterONE 0.02 s=6
d=0.6666666666666666		 Clustering
Markov Clustering 1.0 I=8.886386386386386 Clustering
Transitivity Clustering 0.0 T=14.728451337833423 Clustering
MCODE 0.063 v=0.2
cutoff=4.552513269336507
haircut=T
fluff=T		 Clustering