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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=186
samples=20		 Clustering
Self Organizing Maps 0.0 x=240
y=232		 Clustering
Spectral Clustering 0.002 k=34 Clustering
clusterdp 0.0 k=23
dc=9.347032357325448		 Clustering
HDBSCAN 0.0 minPts=1
k=176		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=17		 Clustering
c-Means 0.0 k=223
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=234 Clustering
DIANA 0.0 metric=euclidean
k=116		 Clustering
DBSCAN 0.0 eps=5.411439785819995
MinPts=8		 Clustering
Hierarchical Clustering 0.0 method=single
k=166		 Clustering
fanny 0.0 k=103
membexp=2.0		 Clustering
k-Means 0.0 k=239
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9523809523809523
K=12		 Clustering
clusterONE 1.0 s=64
d=0.03333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=14.758472143145443
maxits=4250
convits=350		 Clustering
Markov Clustering 1.0 I=7.665865865865866 Clustering
Transitivity Clustering 0.0 T=14.15276908221555 Clustering
MCODE 0.009 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering