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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=168
samples=20		 Clustering
Self Organizing Maps 0.0 x=240
y=232		 Clustering
Spectral Clustering 0.002 k=34 Clustering
clusterdp 0.0 k=10
dc=7.379236071572722		 Clustering
HDBSCAN 0.0 minPts=57
k=217		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=37		 Clustering
c-Means 0.0 k=220
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=179 Clustering
DIANA 0.0 metric=euclidean
k=104		 Clustering
DBSCAN 0.0 eps=3.9355925715054516
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=average
k=81		 Clustering
fanny 0.0 k=90
membexp=2.0		 Clustering
k-Means 0.0 k=193
nstart=10		 Clustering
DensityCut 0.0 alpha=0.5753348214285714
K=12		 Clustering
clusterONE 1.0 s=1
d=0.0		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=14.758472143145443
maxits=3500
convits=275		 Clustering
Markov Clustering 1.0 I=8.485485485485485 Clustering
Transitivity Clustering 0.0 T=13.827757683667803 Clustering
MCODE 0.009 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering