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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 0.0 x=61
y=153		 Clustering
Spectral Clustering 0.005 k=110 Clustering
clusterdp 0.043 k=3
dc=4.856014153958941		 Clustering
HDBSCAN 0.0 minPts=133
k=200		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=200		 Clustering
c-Means 0.0 k=200
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=195 Clustering
DIANA 0.0 metric=euclidean
k=200		 Clustering
DBSCAN 0.0 eps=1.2140035384897352
MinPts=60		 Clustering
Hierarchical Clustering 0.0 method=average
k=198		 Clustering
fanny 0.0 k=74
membexp=2.8800000000000003		 Clustering
k-Means 0.0 k=198
nstart=10		 Clustering
DensityCut 0.733 alpha=0.4583333333333333
K=3		 Clustering
clusterONE 0.02 s=5
d=0.5666666666666667		 Clustering
Markov Clustering 1.0 I=3.9953953953953953 Clustering
Transitivity Clustering 0.0 T=12.778025232452016 Clustering
MCODE 0.063 v=0.2
cutoff=4.552513269336507
haircut=T
fluff=F		 Clustering