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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=26
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=25		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=23
dc=1.8275628580415222		 Clustering
HDBSCAN 0.0 minPts=1
k=214		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=201		 Clustering
c-Means 0.0 k=247
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=125 Clustering
DIANA 0.0 metric=euclidean
k=24		 Clustering
DBSCAN 0.0 eps=0.7832412248749381
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=single
k=22		 Clustering
fanny 0.0 k=78
membexp=1.1		 Clustering
k-Means 0.0 k=183
nstart=10		 Clustering
DensityCut 0.0 alpha=0.93798828125
K=6		 Clustering
clusterONE 0.643 s=133
d=0.6666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=1.9581030621873452
maxits=2750
convits=500		 Clustering
Markov Clustering 0.643 I=5.598998998998999 Clustering
Transitivity Clustering 0.0 T=3.4379507217984018 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=F
fluff=F		 Clustering