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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=102
samples=20		 Clustering
Self Organizing Maps 0.0 x=240
y=232		 Clustering
Spectral Clustering 0.002 k=34 Clustering
clusterdp 0.0 k=19
dc=10.82287957163999		 Clustering
HDBSCAN 0.0 minPts=48
k=184		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=34		 Clustering
c-Means 0.0 k=158
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=173 Clustering
DIANA 0.0 metric=euclidean
k=173		 Clustering
DBSCAN 0.0 eps=5.903388857258178
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=single
k=61		 Clustering
fanny 0.0 k=118
membexp=1.1		 Clustering
k-Means 0.0 k=113
nstart=10		 Clustering
DensityCut 0.0 alpha=0.5464285714285714
K=12		 Clustering
clusterONE 1.0 s=40
d=0.6666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=14.758472143145443
maxits=2750
convits=500		 Clustering
Markov Clustering 1.0 I=1.50980980980981 Clustering
Transitivity Clustering 0.0 T=14.034583119107278 Clustering
MCODE 0.009 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering