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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 1.0 metric=euclidean
k=36
samples=20		 Clustering
Self Organizing Maps 1.0 x=3
y=28		 Clustering
Spectral Clustering 0.577 k=33 Clustering
clusterdp 1.0 k=20
dc=0.2237311883923943		 Clustering
HDBSCAN 1.0 minPts=6
k=23		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=23		 Clustering
c-Means 1.0 k=11
m=2.25		 Clustering
k-Medoids (PAM) 1.0 k=33 Clustering
DIANA 1.0 metric=euclidean
k=35		 Clustering
DBSCAN 1.0 eps=0.0
MinPts=4		 Clustering
Hierarchical Clustering 1.0 method=complete
k=29		 Clustering
fanny 0.993 k=18
membexp=1.1		 Clustering
k-Means 1.0 k=35
nstart=10		 Clustering
DensityCut 0.85 alpha=0.8571428571428571
K=2		 Clustering
clusterONE 0.943 s=4
d=0.8666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=0.6101759683428936
maxits=2750
convits=275		 Clustering
Markov Clustering 0.659 I=9.946546546546546 Clustering
Transitivity Clustering 1.0 T=0.48740783056819725 Clustering