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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 0.107 metric=euclidean
k=572
samples=20		 Clustering
Self Organizing Maps 0.128 x=668
y=4833		 Clustering
Spectral Clustering 0.154 k=247 Clustering
clusterdp 0.248 k=24
dc=36008.34461886732		 Clustering
HDBSCAN 0.0 minPts=1
k=4833		 Clustering
AGNES 0.056 method=flexible
metric=euclidean
k=1525		 Clustering
c-Means 0.132 k=279
m=2.25		 Clustering
k-Medoids (PAM) 0.142 k=207 Clustering
DIANA 0.046 metric=euclidean
k=4509		 Clustering
DBSCAN 0.008 eps=36008.34461886732
MinPts=5000		 Clustering
Hierarchical Clustering 0.0 method=average
k=4969		 Clustering
fanny 0.147 k=528
membexp=2.0		 Clustering
k-Means 0.0 k=4978
nstart=10		 Clustering
DensityCut 0.248 alpha=0.9900716145833335
K=121		 Clustering
clusterONE 0.933 s=283
d=0.4666666666666667		 Clustering
Affinity Propagation 0.138 dampfact=0.9175
preference=810187.7539245147
maxits=3500
convits=200		 Clustering
Markov Clustering 0.933 I=3.14014014014014 Clustering
Transitivity Clustering 0.083 T=1080250.3385660197 Clustering
MCODE 0.884 v=0.0
cutoff=990229.4770188513
haircut=T
fluff=F		 Clustering