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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 1.0 metric=euclidean
k=346
samples=20		 Clustering
Self Organizing Maps 1.0 x=385
y=239		 Clustering
Spectral Clustering 0.999 k=24 Clustering
clusterdp 0.991 k=24
dc=3.6781585066443236		 Clustering
HDBSCAN 1.0 minPts=13
k=93		 Clustering
AGNES 1.0 method=average
metric=euclidean
k=224		 Clustering
c-Means 1.0 k=399
m=3.5		 Clustering
k-Medoids (PAM) 1.0 k=368 Clustering
DIANA 1.0 metric=euclidean
k=269		 Clustering
DBSCAN 1.0 eps=0.0
MinPts=133		 Clustering
Hierarchical Clustering 1.0 method=single
k=236		 Clustering
fanny 1.0 k=108
membexp=2.0		 Clustering
k-Means 1.0 k=295
nstart=10		 Clustering
DensityCut 0.935 alpha=0.17467403628117914
K=3		 Clustering
clusterONE 0.0 s=200
d=0.26666666666666666		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=36.781585066443235
maxits=5000
convits=425		 Clustering
Markov Clustering 0.0 I=9.474374374374374 Clustering
Transitivity Clustering 1.0 T=36.781585066443235 Clustering
MCODE 0.996 v=0.1
cutoff=32.183886933137835
haircut=T
fluff=T		 Clustering