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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=96
samples=20		 Clustering
Self Organizing Maps 0.0 x=146
y=301		 Clustering
Spectral Clustering 0.0 k=62 Clustering
clusterdp 0.0 k=23
dc=23.235945333804597		 Clustering
HDBSCAN 0.0 minPts=13
k=83		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=103		 Clustering
c-Means 0.0 k=68
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=82 Clustering
DIANA 0.0 metric=euclidean
k=77		 Clustering
DBSCAN 0.0 eps=29.297496290449274
MinPts=260		 Clustering
Hierarchical Clustering 0.0 method=complete
k=232		 Clustering
fanny 0.0 k=43
membexp=5.0		 Clustering
k-Means 0.0 k=46
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05847749255952381
K=6		 Clustering
clusterONE 1.0 s=94
d=0.16666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=22.73081608741754
maxits=2750
convits=425		 Clustering
Markov Clustering 1.0 I=5.545545545545545 Clustering
Transitivity Clustering 0.0 T=30.06505004021459 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=F		 Clustering