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 0.25 k=1044 Clustering
clusterdp 0.0 k=71
dc=26.99642633434507		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=995		 Clustering
c-Means 0.0 k=1015
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=695 Clustering
DIANA 0.0 metric=euclidean
k=791		 Clustering
DBSCAN 0.0 eps=92.5591760034688
MinPts=628		 Clustering
Hierarchical Clustering 0.0 method=single
k=886		 Clustering
fanny 0.402 k=505
membexp=5.0		 Clustering
clusterONE 0.751 s=1
d=0.36666666666666664		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=115.69897000433602
maxits=5000
convits=425		 Clustering
Markov Clustering 0.304 I=7.354054054054055 Clustering
Transitivity Clustering 0.0 T=80.72290499802023 Clustering
MCODE 0.981 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F		 Clustering