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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=90
samples=20		 Clustering
Self Organizing Maps 0.0 x=146
y=301		 Clustering
Spectral Clustering 0.0 k=68 Clustering
clusterdp 0.0 k=18
dc=14.14361889883758		 Clustering
HDBSCAN 0.0 minPts=6
k=35		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=160		 Clustering
c-Means 0.0 k=296
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=110 Clustering
DIANA 0.0 metric=euclidean
k=84		 Clustering
DBSCAN 0.0 eps=2.020516985548226
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=single
k=194		 Clustering
fanny 0.0 k=58
membexp=2.0		 Clustering
k-Means 0.0 k=87
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05952380952380952
K=7		 Clustering
clusterONE 0.669 s=156
d=0.7		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=22.73081608741754
maxits=5000
convits=350		 Clustering
Markov Clustering 0.669 I=4.1913913913913925 Clustering
Transitivity Clustering 0.0 T=27.18293121698514 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=T		 Clustering