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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=190
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=191		 Clustering
Spectral Clustering 0.0 k=55 Clustering
clusterdp 0.0 k=19
dc=0.7728		 Clustering
HDBSCAN 0.0 minPts=12
k=238		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=213		 Clustering
c-Means 0.0 k=212
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=58 Clustering
DIANA 0.0 metric=euclidean
k=169		 Clustering
DBSCAN 0.0 eps=1.5456
MinPts=233		 Clustering
Hierarchical Clustering 0.0 method=complete
k=226		 Clustering
fanny 0.0 k=90
membexp=5.0		 Clustering
k-Means 0.0 k=223
nstart=10		 Clustering
DensityCut 0.0 alpha=0.038085937499999986
K=4		 Clustering
clusterONE 0.502 s=50
d=0.8		 Clustering
Affinity Propagation 0.062 dampfact=0.9175
preference=3.3120000000000003
maxits=2000
convits=425		 Clustering
Markov Clustering 0.502 I=8.04004004004004 Clustering
Transitivity Clustering 0.0 T=3.20590990990991 Clustering
MCODE 0.021 v=0.6
cutoff=3.036
haircut=F
fluff=T		 Clustering