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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=66
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=191		 Clustering
Spectral Clustering 0.0 k=9 Clustering
clusterdp 0.0 k=17
dc=0.11040000000000001		 Clustering
HDBSCAN 0.0 minPts=1
k=14		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=113		 Clustering
c-Means 0.0 k=189
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=84 Clustering
DIANA 0.0 metric=euclidean
k=196		 Clustering
DBSCAN 0.0 eps=2.0976000000000004
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=average
k=226		 Clustering
fanny 0.0 k=248
membexp=1.1		 Clustering
k-Means 0.0 k=88
nstart=10		 Clustering
DensityCut 0.0 alpha=0.03252551020408163
K=4		 Clustering
clusterONE 1.0 s=117
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=3.3120000000000003
maxits=2750
convits=200		 Clustering
Markov Clustering 0.5 I=9.66146146146146 Clustering
Transitivity Clustering 0.0 T=2.973837837837838 Clustering
MCODE 0.001 v=0.7
cutoff=3.036
haircut=T
fluff=T		 Clustering