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 0.0 k=189 Clustering
clusterdp 0.67 k=25
dc=0.9116803298042634		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=176		 Clustering
c-Means 0.0 k=38
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=162 Clustering
DIANA 0.0 metric=euclidean
k=182		 Clustering
DBSCAN 1.0 eps=0.9558401649021318
MinPts=139		 Clustering
Hierarchical Clustering 0.0 method=single
k=184		 Clustering
fanny 0.0 k=70
membexp=1.1		 Clustering
clusterONE 1.0 s=133
d=0.36666666666666664		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.9698910215241808
maxits=5000
convits=500		 Clustering
Markov Clustering 1.0 I=1.5810810810810811 Clustering
Transitivity Clustering 0.0 T=0.9998794435296267 Clustering
MCODE 0.211 v=0.9
cutoff=0.994981836920697
haircut=F
fluff=T		 Clustering