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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=245
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=191		 Clustering
Spectral Clustering 0.0 k=34 Clustering
clusterdp 0.0 k=17
dc=1.3248		 Clustering
HDBSCAN 0.0 minPts=1
k=14		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=213		 Clustering
c-Means 0.0 k=149
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=126 Clustering
DIANA 0.0 metric=euclidean
k=107		 Clustering
DBSCAN 0.0 eps=1.4352000000000003
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=single
k=100		 Clustering
fanny 0.0 k=97
membexp=1.1		 Clustering
k-Means 0.0 k=220
nstart=10		 Clustering
DensityCut 0.0 alpha=0.03252551020408163
K=3		 Clustering
clusterONE 0.502 s=158
d=0.36666666666666664		 Clustering
Affinity Propagation 0.062 dampfact=0.845
preference=2.484
maxits=3500
convits=500		 Clustering
Markov Clustering 0.502 I=2.8995995995996 Clustering
Transitivity Clustering 0.0 T=3.2191711711711712 Clustering
MCODE 0.021 v=0.6
cutoff=3.036
haircut=T
fluff=T		 Clustering