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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=201
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=25		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=22
dc=2.3497236746248142		 Clustering
HDBSCAN 0.0 minPts=22
k=85		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=240		 Clustering
c-Means 0.0 k=234
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=72 Clustering
DIANA 0.0 metric=euclidean
k=105		 Clustering
DBSCAN 0.0 eps=2.6108040829164603
MinPts=158		 Clustering
Hierarchical Clustering 0.0 method=single
k=69		 Clustering
fanny 0.0 k=6
membexp=5.0		 Clustering
k-Means 0.0 k=244
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9374999701976776
K=5		 Clustering
clusterONE 0.643 s=125
d=0.26666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=2.9371545932810177
maxits=3500
convits=275		 Clustering
Markov Clustering 0.643 I=5.634634634634635 Clustering
Transitivity Clustering 0.0 T=3.5908356455727892 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=F
fluff=F		 Clustering