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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=83
samples=20		 Clustering
Self Organizing Maps 0.0 x=12
y=135		 Clustering
Spectral Clustering 0.0 k=86 Clustering
clusterdp 0.0 k=6
dc=12.123101913289355		 Clustering
HDBSCAN 0.0 minPts=6
k=35		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=57		 Clustering
c-Means 0.0 k=65
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=109 Clustering
DIANA 0.0 metric=euclidean
k=305		 Clustering
DBSCAN 0.0 eps=19.194911362708144
MinPts=249		 Clustering
Hierarchical Clustering 0.0 method=single
k=233		 Clustering
fanny 0.0 k=89
membexp=1.1		 Clustering
k-Means 0.0 k=239
nstart=10		 Clustering
DensityCut 0.0 alpha=0.013392857142857142
K=9		 Clustering
clusterONE 0.669 s=11
d=0.1		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=22.73081608741754
maxits=5000
convits=425		 Clustering
Markov Clustering 0.669 I=7.1580580580580575 Clustering
Transitivity Clustering 0.0 T=25.787378944684566 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=T		 Clustering