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 0.0 k=1046 Clustering
clusterdp 0.0 k=2
dc=33.479008533333335		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=806		 Clustering
c-Means 0.0 k=1017
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=959 Clustering
DIANA 0.0 metric=euclidean
k=866		 Clustering
DBSCAN 0.0 eps=0.0
MinPts=699		 Clustering
Hierarchical Clustering 0.0 method=complete
k=991		 Clustering
fanny 0.0 k=213
membexp=1.1		 Clustering
clusterONE 1.0 s=35
d=0.6333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=21.834136
maxits=2000
convits=500		 Clustering
Markov Clustering 0.001 I=9.982182182182182 Clustering
Transitivity Clustering 0.0 T=40.25873724924925 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=F		 Clustering