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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=172
samples=20		 Clustering
Self Organizing Maps 0.0 x=57
y=144		 Clustering
Spectral Clustering 0.002 k=34 Clustering
clusterdp 0.0 k=14
dc=2.459745357190907		 Clustering
HDBSCAN 0.0 minPts=200
k=240		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=184		 Clustering
c-Means 0.0 k=153
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=222 Clustering
DIANA 0.0 metric=euclidean
k=175		 Clustering
DBSCAN 0.0 eps=4.919490714381814
MinPts=16		 Clustering
Hierarchical Clustering 0.0 method=complete
k=120		 Clustering
fanny 0.0 k=71
membexp=2.0		 Clustering
k-Means 0.0 k=167
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9523809523809523
K=12		 Clustering
clusterONE 1.0 s=224
d=0.16666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=14.758472143145443
maxits=5000
convits=500		 Clustering
Markov Clustering 1.0 I=5.901901901901902 Clustering
Transitivity Clustering 0.0 T=13.561839266674191 Clustering
MCODE 0.009 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering