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 0.5 k=511 Clustering
clusterdp 0.737 k=8
dc=0.8719264318015347		 Clustering
AGNES 0.25 method=average
metric=euclidean
k=498		 Clustering
c-Means 0.333 k=505
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=506 Clustering
DIANA 0.0 metric=euclidean
k=508		 Clustering
DBSCAN 0.736 eps=0.8761955507414836
MinPts=103		 Clustering
Hierarchical Clustering 0.0 method=single
k=509		 Clustering
fanny 0.659 k=224
membexp=2.0		 Clustering
clusterONE 0.736 s=443
d=0.13333333333333333		 Clustering
Affinity Propagation 0.727 dampfact=0.7
preference=0.9039448238511512
maxits=5000
convits=350		 Clustering
Markov Clustering 0.736 I=2.454154154154154 Clustering
Transitivity Clustering 0.235 T=1.0000000000000002 Clustering
MCODE 0.727 v=0.0
cutoff=0.9946636013250642
haircut=F
fluff=T		 Clustering