Clusteval logo ClustEval clustering evaluation framework
Location: Data Sets » astral_40_strsim » 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 0.844 k=644 Clustering
clusterdp 0.0 k=560
dc=20.378526933333333		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=576		 Clustering
c-Means 0.0 k=1027
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=799 Clustering
DIANA 0.0 metric=euclidean
k=733		 Clustering
DBSCAN 0.0 eps=42.212662933333334
MinPts=594		 Clustering
Hierarchical Clustering 0.0 method=complete
k=603		 Clustering
fanny 0.054 k=458
membexp=5.0		 Clustering
clusterONE 0.989 s=350
d=0.13333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=43.668272
maxits=5000
convits=350		 Clustering
Markov Clustering 0.198 I=9.866366366366366 Clustering
Transitivity Clustering 0.0 T=23.25477547947948 Clustering
MCODE 0.789 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=T		 Clustering