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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=15
samples=20		 Clustering
Self Organizing Maps 0.0 x=150
y=108		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=22
dc=1.5671892461490604		 Clustering
HDBSCAN 0.0 minPts=1
k=15		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=38		 Clustering
c-Means 0.0 k=202
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=190 Clustering
DIANA 0.0 metric=euclidean
k=1		 Clustering
DBSCAN 0.0 eps=0.20895856615320804
MinPts=34		 Clustering
Hierarchical Clustering 0.0 method=complete
k=28		 Clustering
fanny 0.0 k=59
membexp=1.1		 Clustering
k-Means 0.0 k=169
nstart=10		 Clustering
DensityCut 0.0 alpha=0.2976190476190476
K=5		 Clustering
clusterONE 0.739 s=1
d=0.5666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=0.0
maxits=2000
convits=350		 Clustering
Markov Clustering 0.739 I=8.628028028028028 Clustering
Transitivity Clustering 0.0 T=1.2863815634056353 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering