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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=79
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=34		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=6
dc=0.9137814290207611		 Clustering
HDBSCAN 0.0 minPts=5
k=45		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=228		 Clustering
c-Means 0.0 k=89
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=224 Clustering
DIANA 0.0 metric=euclidean
k=246		 Clustering
DBSCAN 0.0 eps=2.480263878770637
MinPts=167		 Clustering
Hierarchical Clustering 0.0 method=complete
k=67		 Clustering
fanny 0.0 k=121
membexp=1.1		 Clustering
k-Means 0.0 k=196
nstart=10		 Clustering
DensityCut 0.0 alpha=0.23809523809523808
K=24		 Clustering
clusterONE 1.0 s=67
d=0.1		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=1.9581030621873452
maxits=5000
convits=500		 Clustering
Markov Clustering 1.0 I=6.374074074074075 Clustering
Transitivity Clustering 0.0 T=2.8969732992121084 Clustering
MCODE 0.001 v=0.9
cutoff=3.589855614010133
haircut=T
fluff=T		 Clustering