Clusteval logo ClustEval clustering evaluation framework
Location: Data Sets » astral_40_seqsim_beh » 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=1043 Clustering
clusterdp 0.0 k=594
dc=104.12907300390242		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=677		 Clustering
c-Means 0.0 k=454
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=802 Clustering
DIANA 0.0 metric=euclidean
k=984		 Clustering
DBSCAN 0.0 eps=0.0
MinPts=768		 Clustering
Hierarchical Clustering 0.0 method=average
k=814		 Clustering
fanny 0.0 k=1037
membexp=2.0		 Clustering
clusterONE 0.012 s=1
d=0.36666666666666664		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=115.69897000433602
maxits=3500
convits=500		 Clustering
Markov Clustering 0.001 I=10.0 Clustering
Transitivity Clustering 0.0 T=16.21406987047752 Clustering
MCODE 0.32 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F		 Clustering