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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=21
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=9		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=18
dc=0.7313549815362281		 Clustering
HDBSCAN 0.0 minPts=36
k=202		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=95		 Clustering
c-Means 0.0 k=127
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=30 Clustering
DIANA 0.0 metric=euclidean
k=51		 Clustering
DBSCAN 0.0 eps=0.47015677384471816
MinPts=9		 Clustering
Hierarchical Clustering 0.0 method=complete
k=113		 Clustering
fanny 0.0 k=116
membexp=1.1		 Clustering
k-Means 0.0 k=95
nstart=10		 Clustering
DensityCut 0.0 alpha=0.06101190476190475
K=18		 Clustering
clusterONE 1.0 s=1
d=0.2		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.5671892461490604
maxits=2000
convits=275		 Clustering
Markov Clustering 1.0 I=4.93083083083083 Clustering
Transitivity Clustering 0.0 T=1.549932908103375 Clustering
MCODE 0.0 v=0.7
cutoff=1.2406914865346728
haircut=F
fluff=F		 Clustering