Clusteval logo ClustEval clustering evaluation framework
Location: Data Sets » coli_time » 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 0.0 k=508 Clustering
clusterdp 0.911 k=24
dc=0.9743852863603072		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=504		 Clustering
c-Means 0.0 k=5
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=507 Clustering
DIANA 0.0 metric=euclidean
k=508		 Clustering
DBSCAN 1.0 eps=0.9018102643811766
MinPts=511		 Clustering
Hierarchical Clustering 0.0 method=single
k=511		 Clustering
fanny 0.0 k=238
membexp=2.0		 Clustering
clusterONE 1.0 s=52
d=0.1		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.0000000000000002
maxits=5000
convits=500		 Clustering
Markov Clustering 1.0 I=7.6302302302302305 Clustering
Transitivity Clustering 0.0 T=0.9997435964600633 Clustering
MCODE 0.284 v=0.0
cutoff=0.9946636013250642
haircut=T
fluff=F		 Clustering