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=61.70611733564588		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=753		 Clustering
c-Means 0.0 k=230
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=932 Clustering
DIANA 0.0 metric=euclidean
k=600		 Clustering
DBSCAN 0.0 eps=84.84591133651308
MinPts=698		 Clustering
Hierarchical Clustering 0.0 method=single
k=836		 Clustering
fanny 0.0 k=414
membexp=1.1		 Clustering
clusterONE 0.012 s=1
d=0.36666666666666664		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=86.774227503252
maxits=2750
convits=500		 Clustering
Markov Clustering 0.001 I=10.0 Clustering
Transitivity Clustering 0.0 T=71.22609264531195 Clustering
MCODE 0.32 v=0.9
cutoff=4.820790416847334
haircut=T
fluff=T		 Clustering