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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=34		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=15
dc=2.480263878770637		 Clustering
HDBSCAN 0.0 minPts=2
k=58		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=49		 Clustering
c-Means 0.0 k=224
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=42 Clustering
DIANA 0.0 metric=euclidean
k=181		 Clustering
DBSCAN 0.0 eps=1.044321633166584
MinPts=241		 Clustering
Hierarchical Clustering 0.0 method=average
k=22		 Clustering
fanny 0.0 k=87
membexp=2.0		 Clustering
k-Means 0.0 k=35
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9374999995343387
K=5		 Clustering
clusterONE 0.643 s=175
d=0.43333333333333335		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=3.9162061243746904
maxits=2750
convits=200		 Clustering
Markov Clustering 0.643 I=5.064464464464464 Clustering
Transitivity Clustering 0.0 T=2.66960597667584 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=F
fluff=F		 Clustering