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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=29
samples=20		 Clustering
Self Organizing Maps 0.0 x=3
y=28		 Clustering
Spectral Clustering 0.488 k=26 Clustering
clusterdp 0.0 k=19
dc=0.2237311883923943		 Clustering
HDBSCAN 0.0 minPts=13
k=29		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=29		 Clustering
c-Means 0.0 k=36
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=27 Clustering
DIANA 0.0 metric=euclidean
k=29		 Clustering
DBSCAN 0.0 eps=0.2033919894476312
MinPts=8		 Clustering
Hierarchical Clustering 0.0 method=complete
k=33		 Clustering
fanny 0.065 k=16
membexp=1.1		 Clustering
k-Means 0.0 k=31
nstart=10		 Clustering
DensityCut 0.23 alpha=0.8595238095238095
K=2		 Clustering
clusterONE 0.18 s=3
d=0.7333333333333333		 Clustering
Affinity Propagation 0.057 dampfact=0.9175
preference=0.3050879841714468
maxits=5000
convits=500		 Clustering
Markov Clustering 0.369 I=9.902002002002002 Clustering
Transitivity Clustering 0.0 T=0.48740783056819725 Clustering