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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 1.0 metric=euclidean
k=227
samples=20		 Clustering
Self Organizing Maps 1.0 x=233
y=233		 Clustering
Spectral Clustering 0.996 k=25 Clustering
clusterdp 1.0 k=4
dc=1.2015117553809462		 Clustering
HDBSCAN 1.0 minPts=214
k=48		 Clustering
AGNES 1.0 method=ward
metric=euclidean
k=4		 Clustering
c-Means 1.0 k=4
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=88 Clustering
DIANA 1.0 metric=euclidean
k=63		 Clustering
DBSCAN 1.0 eps=0.20895856615320804
MinPts=34		 Clustering
Hierarchical Clustering 1.0 method=average
k=107		 Clustering
fanny 1.0 k=23
membexp=5.0		 Clustering
k-Means 1.0 k=12
nstart=10		 Clustering
DensityCut 1.0 alpha=0.078125
K=19		 Clustering
clusterONE 0.0 s=175
d=0.2		 Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=1.5671892461490604
maxits=2000
convits=425		 Clustering
Markov Clustering 0.0 I=8.752752752752754 Clustering
Transitivity Clustering 1.0 T=1.0416553147577339 Clustering
MCODE 1.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=F		 Clustering