Clusteval logo ClustEval clustering evaluation framework
Location: Data Sets » coli_need » Best Parameters
Navigation:
027Hints:

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
Spectral Clustering 0.493 k=4 Clustering
clusterdp 0.547 k=25
dc=0.9883665135138708		 Clustering
AGNES 0.55 method=flexible
metric=euclidean
k=1		 Clustering
c-Means 0.536 k=3
m=5.0		 Clustering
k-Medoids (PAM) 0.546 k=3 Clustering
DIANA 0.55 metric=euclidean
k=5		 Clustering
DBSCAN 0.55 eps=0.9325257783804497
MinPts=63		 Clustering
Hierarchical Clustering 0.547 method=average
k=3		 Clustering
fanny 0.551 k=9
membexp=5.0		 Clustering
clusterONE 0.55 s=7
d=0.4666666666666667		 Clustering
Affinity Propagation 0.55 dampfact=0.845
preference=0.9301990810832238
maxits=2000
convits=275		 Clustering
Markov Clustering 0.55 I=1.491991991991992 Clustering
Transitivity Clustering 0.55 T=0.933413137409722 Clustering