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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=116
samples=20		 Clustering
Self Organizing Maps 0.0 x=240
y=240		 Clustering
Spectral Clustering 0.002 k=34 Clustering
clusterdp 0.0 k=22
dc=0.9838981428763629		 Clustering
HDBSCAN 0.0 minPts=69
k=228		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=56		 Clustering
c-Means 0.0 k=196
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=175 Clustering
DIANA 0.0 metric=euclidean
k=232		 Clustering
DBSCAN 0.0 eps=4.427541642943633
MinPts=32		 Clustering
Hierarchical Clustering 0.0 method=average
k=207		 Clustering
fanny 0.0 k=114
membexp=2.0		 Clustering
k-Means 0.0 k=124
nstart=10		 Clustering
DensityCut 0.0 alpha=0.5982142857142857
K=9		 Clustering
clusterONE 1.0 s=192
d=0.2		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=14.758472143145443
maxits=2000
convits=275		 Clustering
Markov Clustering 1.0 I=8.164764764764765 Clustering
Transitivity Clustering 0.0 T=14.359594517655026 Clustering
MCODE 0.009 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering