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=838
dc=111.84233767085814		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=893		 Clustering
c-Means 0.0 k=252
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=983 Clustering
DIANA 0.0 metric=euclidean
k=950		 Clustering
DBSCAN 0.0 eps=92.5591760034688
MinPts=628		 Clustering
Hierarchical Clustering 0.0 method=single
k=965		 Clustering
fanny 0.0 k=470
membexp=1.1		 Clustering
clusterONE 0.012 s=1
d=0.4		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=115.69897000433602
maxits=4250
convits=350		 Clustering
Markov Clustering 0.001 I=9.893093093093094 Clustering
Transitivity Clustering 0.0 T=58.9497254576647 Clustering
MCODE 0.32 v=0.8
cutoff=4.820790416847334
haircut=F
fluff=T		 Clustering