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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=169
samples=20		 Clustering
Self Organizing Maps 0.0 x=117
y=9		 Clustering
Spectral Clustering 0.0 k=77 Clustering
clusterdp 0.0 k=9
dc=0.22080000000000002		 Clustering
HDBSCAN 0.0 minPts=12
k=238		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=119		 Clustering
c-Means 0.0 k=219
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=248 Clustering
DIANA 0.0 metric=euclidean
k=87		 Clustering
DBSCAN 0.0 eps=2.4288000000000003
MinPts=183		 Clustering
Hierarchical Clustering 0.0 method=average
k=226		 Clustering
fanny 0.0 k=90
membexp=5.0		 Clustering
k-Means 0.0 k=232
nstart=10		 Clustering
DensityCut 0.0 alpha=0.039508928571428556
K=4		 Clustering
clusterONE 0.502 s=150
d=0.9333333333333333		 Clustering
Affinity Propagation 0.062 dampfact=0.9175
preference=2.484
maxits=4250
convits=500		 Clustering
Markov Clustering 0.502 I=1.2336336336336338 Clustering
Transitivity Clustering 0.0 T=3.20590990990991 Clustering
MCODE 0.021 v=0.6
cutoff=3.036
haircut=F
fluff=T		 Clustering