Clusteval logo ClustEval clustering evaluation framework
Location: Data Sets » brown » 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=217 Clustering
clusterdp 0.002 k=5
dc=258.64497227449266		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=189		 Clustering
c-Means 0.0 k=132
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=149 Clustering
DIANA 0.0 metric=euclidean
k=219		 Clustering
DBSCAN 0.0 eps=0.0
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=average
k=219		 Clustering
fanny 0.003 k=101
membexp=5.0		 Clustering
clusterONE 0.039 s=1
d=0.1		 Clustering
Affinity Propagation 0.014 dampfact=0.845
preference=161.6531076715579
maxits=2000
convits=350		 Clustering
Markov Clustering 0.012 I=9.786186186186185 Clustering
Transitivity Clustering 0.0 T=97.41258340167953 Clustering
MCODE 0.019 v=0.1
cutoff=40.413276917889476
haircut=T
fluff=F		 Clustering