Clusteval logo ClustEval clustering evaluation framework
Location: Data Sets » coli_state » 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=123 Clustering
clusterdp 0.586 k=10
dc=0.8875931470236079		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=173		 Clustering
c-Means 0.0 k=188
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=182 Clustering
DIANA 0.0 metric=euclidean
k=174		 Clustering
DBSCAN 0.609 eps=0.9357675125849189
MinPts=19		 Clustering
Hierarchical Clustering 0.0 method=complete
k=172		 Clustering
fanny 0.393 k=77
membexp=5.0		 Clustering
clusterONE 0.609 s=183
d=0.3333333333333333		 Clustering
Affinity Propagation 0.573 dampfact=0.845
preference=0.9397820430483614
maxits=5000
convits=425		 Clustering
Markov Clustering 0.609 I=8.93983983983984 Clustering
Transitivity Clustering 0.0 T=0.9998794435296267 Clustering
MCODE 0.594 v=0.9
cutoff=0.9849455107620905
haircut=T
fluff=T		 Clustering