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 1.0 k=511 Clustering
clusterdp 0.089 k=2
dc=0.9530396916605628		 Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=511		 Clustering
c-Means 1.0 k=187
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=510 Clustering
DIANA 1.0 metric=euclidean
k=511		 Clustering
DBSCAN 0.0 eps=0.8847337886213812
MinPts=256		 Clustering
Hierarchical Clustering 1.0 method=complete
k=509		 Clustering
fanny 1.0 k=189
membexp=1.1		 Clustering
clusterONE 0.0 s=307
d=0.3333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=1.0000000000000002
maxits=3500
convits=275		 Clustering
Markov Clustering 0.0 I=9.091291291291292 Clustering
Transitivity Clustering 1.0 T=0.9997435964600633 Clustering
MCODE 0.716 v=0.0
cutoff=0.9946636013250642
haircut=T
fluff=F		 Clustering