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=1044 Clustering
clusterdp 0.0 k=942
dc=69.41938200260161		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=626		 Clustering
c-Means 0.0 k=321
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=627 Clustering
DIANA 0.0 metric=euclidean
k=657		 Clustering
DBSCAN 0.0 eps=77.13264666955735
MinPts=872		 Clustering
Hierarchical Clustering 0.0 method=average
k=924		 Clustering
fanny 0.0 k=149
membexp=1.1		 Clustering
clusterONE 0.012 s=1
d=0.36666666666666664		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=115.69897000433602
maxits=4250
convits=350		 Clustering
Markov Clustering 0.001 I=9.857457457457457 Clustering
Transitivity Clustering 0.0 T=79.2173127957616 Clustering
MCODE 0.32 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F		 Clustering