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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=64
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=50		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=22
dc=0.6268756984596242		 Clustering
HDBSCAN 0.0 minPts=60
k=190		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=207		 Clustering
c-Means 0.0 k=172
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=132 Clustering
DIANA 0.0 metric=euclidean
k=63		 Clustering
DBSCAN 0.0 eps=0.47015677384471816
MinPts=9		 Clustering
Hierarchical Clustering 0.0 method=complete
k=196		 Clustering
fanny 0.0 k=27
membexp=5.0		 Clustering
k-Means 0.0 k=240
nstart=10		 Clustering
DensityCut 0.0 alpha=0.17857142857142855
K=10		 Clustering
clusterONE 0.739 s=133
d=0.6333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=0.3917973115372651
maxits=5000
convits=350		 Clustering
Markov Clustering 0.739 I=3.149049049049049 Clustering
Transitivity Clustering 0.0 T=1.4965951359621656 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering