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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 1.0 metric=euclidean
k=76
samples=20		 Clustering
Self Organizing Maps 1.0 x=117
y=9		 Clustering
Spectral Clustering 1.0 k=19 Clustering
clusterdp 1.0 k=16
dc=0.7728		 Clustering
HDBSCAN 1.0 minPts=36
k=250		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=250		 Clustering
c-Means 1.0 k=62
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=244 Clustering
DIANA 1.0 metric=euclidean
k=125		 Clustering
DBSCAN 1.0 eps=2.208
MinPts=183		 Clustering
Hierarchical Clustering 1.0 method=complete
k=120		 Clustering
fanny 1.0 k=89
membexp=5.0		 Clustering
k-Means 1.0 k=90
nstart=10		 Clustering
DensityCut 1.0 alpha=0.05468749999999998
K=4		 Clustering
clusterONE 0.0 s=233
d=0.6		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=3.3120000000000003
maxits=4250
convits=350		 Clustering
Markov Clustering 0.5 I=9.5990990990991 Clustering
Transitivity Clustering 1.0 T=3.209225225225225 Clustering
MCODE 0.999 v=0.9
cutoff=3.036
haircut=F
fluff=T		 Clustering