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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=161
samples=20		 Clustering
Self Organizing Maps 0.0 x=150
y=108		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=12
dc=0.7313549815362281		 Clustering
HDBSCAN 0.0 minPts=3
k=6		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=219		 Clustering
c-Means 0.0 k=179
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=68 Clustering
DIANA 0.0 metric=euclidean
k=178		 Clustering
DBSCAN 0.0 eps=0.47015677384471816
MinPts=9		 Clustering
Hierarchical Clustering 0.0 method=single
k=154		 Clustering
fanny 0.0 k=39
membexp=5.0		 Clustering
k-Means 0.0 k=145
nstart=10		 Clustering
DensityCut 0.0 alpha=0.03660714285714285
K=15		 Clustering
clusterONE 1.0 s=200
d=0.4666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.0
maxits=2750
convits=350		 Clustering
Markov Clustering 1.0 I=4.405205205205205 Clustering
Transitivity Clustering 0.0 T=1.372663253634062 Clustering
MCODE 0.0 v=0.8
cutoff=1.2406914865346728
haircut=F
fluff=F		 Clustering