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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=66
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=191		 Clustering
Spectral Clustering 0.0 k=15 Clustering
clusterdp 0.0 k=18
dc=0.3312		 Clustering
HDBSCAN 0.0 minPts=6
k=12		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=152		 Clustering
c-Means 0.0 k=89
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=68 Clustering
DIANA 0.0 metric=euclidean
k=181		 Clustering
DBSCAN 0.0 eps=0.6624
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=average
k=200		 Clustering
fanny 0.0 k=91
membexp=5.0		 Clustering
k-Means 0.0 k=244
nstart=10		 Clustering
DensityCut 0.0 alpha=0.021683673469387748
K=4		 Clustering
clusterONE 0.502 s=67
d=0.9666666666666667		 Clustering
Affinity Propagation 0.062 dampfact=0.99
preference=2.484
maxits=4250
convits=350		 Clustering
Markov Clustering 0.502 I=7.6124124124124135 Clustering
Transitivity Clustering 0.0 T=3.139603603603604 Clustering
MCODE 0.021 v=0.7
cutoff=3.036
haircut=F
fluff=T		 Clustering