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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=21
samples=20		 Clustering
Self Organizing Maps 0.0 x=76
y=183		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=19
dc=2.480263878770637		 Clustering
HDBSCAN 0.0 minPts=22
k=98		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=61		 Clustering
c-Means 0.0 k=169
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=191 Clustering
DIANA 0.0 metric=euclidean
k=133		 Clustering
DBSCAN 0.0 eps=1.6970226538956992
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=complete
k=54		 Clustering
fanny 0.0 k=3
membexp=5.0		 Clustering
k-Means 0.0 k=154
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9374999990686774
K=5		 Clustering
clusterONE 0.643 s=1
d=0.4		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.9790515310936726
maxits=5000
convits=350		 Clustering
Markov Clustering 0.643 I=4.788288288288288 Clustering
Transitivity Clustering 0.0 T=3.006736834229617 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=F
fluff=F		 Clustering