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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=177
samples=20		 Clustering
Self Organizing Maps 0.0 x=33
y=8		 Clustering
Spectral Clustering 0.005 k=8 Clustering
clusterdp 0.0 k=15
dc=5.411439785819995		 Clustering
HDBSCAN 0.0 minPts=72
k=232		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=65		 Clustering
c-Means 0.0 k=223
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=92 Clustering
DIANA 0.0 metric=euclidean
k=238		 Clustering
DBSCAN 0.0 eps=4.919490714381814
MinPts=16		 Clustering
Hierarchical Clustering 0.0 method=average
k=144		 Clustering
fanny 0.0 k=46
membexp=2.0		 Clustering
k-Means 0.0 k=219
nstart=10		 Clustering
DensityCut 0.0 alpha=0.6880952380952381
K=10		 Clustering
clusterONE 0.464 s=160
d=0.06666666666666667		 Clustering
Affinity Propagation 0.014 dampfact=0.99
preference=0.0
maxits=2000
convits=200		 Clustering
Markov Clustering 0.464 I=4.048848848848849 Clustering
Transitivity Clustering 0.0 T=14.078902855272881 Clustering
MCODE 0.175 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering