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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=133
samples=20		 Clustering
Self Organizing Maps 0.0 x=136
y=301		 Clustering
Spectral Clustering 0.0 k=40 Clustering
clusterdp 0.0 k=6
dc=3.030775478322339		 Clustering
HDBSCAN 0.0 minPts=9
k=122		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=71		 Clustering
c-Means 0.0 k=280
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=164 Clustering
DIANA 0.0 metric=euclidean
k=272		 Clustering
DBSCAN 0.0 eps=0.0
MinPts=11		 Clustering
Hierarchical Clustering 0.0 method=single
k=260		 Clustering
fanny 0.0 k=311
membexp=2.0		 Clustering
k-Means 0.0 k=226
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05847749255952381
K=6		 Clustering
clusterONE 1.0 s=115
d=0.3		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=15.153877391611694
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=6.418618618618619 Clustering
Transitivity Clustering 0.0 T=26.303126523578253 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=T		 Clustering