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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=35
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=84		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=23
dc=1.4359422456040531		 Clustering
HDBSCAN 0.0 minPts=24
k=214		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=61		 Clustering
c-Means 0.0 k=47
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=5 Clustering
DIANA 0.0 metric=euclidean
k=53		 Clustering
DBSCAN 0.0 eps=0.9137814290207611
MinPts=241		 Clustering
Hierarchical Clustering 0.0 method=single
k=84		 Clustering
fanny 0.0 k=51
membexp=1.1		 Clustering
k-Means 0.0 k=136
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9421875
K=6		 Clustering
clusterONE 0.643 s=216
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=2.9371545932810177
maxits=3500
convits=200		 Clustering
Markov Clustering 0.643 I=3.7548548548548553 Clustering
Transitivity Clustering 0.0 T=3.861324356865936 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=T
fluff=F		 Clustering