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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=64
samples=20		 Clustering
Self Organizing Maps 0.0 x=73
y=208		 Clustering
Spectral Clustering 0.002 k=34 Clustering
clusterdp 0.0 k=13
dc=9.838981428763628		 Clustering
HDBSCAN 0.0 minPts=19
k=88		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=205		 Clustering
c-Means 0.0 k=208
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=208 Clustering
DIANA 0.0 metric=euclidean
k=232		 Clustering
DBSCAN 0.0 eps=5.903388857258178
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=average
k=98		 Clustering
fanny 0.0 k=118
membexp=1.1		 Clustering
k-Means 0.0 k=79
nstart=10		 Clustering
DensityCut 0.0 alpha=0.6666666666666666
K=12		 Clustering
clusterONE 1.0 s=48
d=0.4666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=14.758472143145443
maxits=3500
convits=350		 Clustering
Markov Clustering 1.0 I=8.316216216216215 Clustering
Transitivity Clustering 0.0 T=14.285728290712356 Clustering
MCODE 0.009 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering