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 1.0 k=103 Clustering
clusterdp 0.452 k=25
dc=0.9488126594610308		 Clustering
AGNES 1.0 method=ward
metric=euclidean
k=102		 Clustering
c-Means 1.0 k=91
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=103 Clustering
DIANA 1.0 metric=euclidean
k=105		 Clustering
DBSCAN 0.0 eps=0.9860398162166449
MinPts=18		 Clustering
Hierarchical Clustering 1.0 method=complete
k=105		 Clustering
fanny 1.0 k=23
membexp=5.0		 Clustering
clusterONE 0.0 s=80
d=0.9		 Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=1.0000000000000002
maxits=4250
convits=200		 Clustering
Markov Clustering 0.0 I=1.1 Clustering
Transitivity Clustering 1.0 T=0.9996506460514678 Clustering