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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=149
samples=20		 Clustering
Self Organizing Maps 1.0 x=240
y=232		 Clustering
Spectral Clustering 0.998 k=34 Clustering
clusterdp 1.0 k=9
dc=3.44364350006727		 Clustering
HDBSCAN 1.0 minPts=171
k=240		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=231		 Clustering
c-Means 1.0 k=45
m=5.0		 Clustering
k-Medoids (PAM) 1.0 k=178 Clustering
DIANA 1.0 metric=euclidean
k=234		 Clustering
DBSCAN 1.0 eps=3.9355925715054516
MinPts=1		 Clustering
Hierarchical Clustering 1.0 method=complete
k=149		 Clustering
fanny 1.0 k=60
membexp=5.0		 Clustering
k-Means 1.0 k=238
nstart=10		 Clustering
DensityCut 1.0 alpha=0.5792410714285714
K=12		 Clustering
clusterONE 0.0 s=48
d=0.8666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=11.068854107359083
maxits=5000
convits=500		 Clustering
Markov Clustering 0.0 I=2.071071071071071 Clustering
Transitivity Clustering 1.0 T=14.566419953094503 Clustering
MCODE 0.991 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering