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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=52
samples=20		 Clustering
Self Organizing Maps 0.0 x=208
y=166		 Clustering
Spectral Clustering 0.0 k=25 Clustering
clusterdp 0.0 k=33
dc=26.266720812126938		 Clustering
HDBSCAN 0.0 minPts=60
k=312		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=95		 Clustering
c-Means 0.0 k=174
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=178 Clustering
DIANA 0.0 metric=euclidean
k=224		 Clustering
DBSCAN 0.0 eps=0.0
MinPts=11		 Clustering
Hierarchical Clustering 0.0 method=single
k=286		 Clustering
fanny 0.0 k=126
membexp=5.0		 Clustering
k-Means 0.0 k=279
nstart=10		 Clustering
DensityCut 0.0 alpha=0.03560799319727891
K=4		 Clustering
clusterONE 1.0 s=166
d=0.1		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=22.73081608741754
maxits=4250
convits=425		 Clustering
Markov Clustering 1.0 I=2.739239239239239 Clustering
Transitivity Clustering 0.0 T=27.971721631763728 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=F		 Clustering