Clusteval logo ClustEval clustering evaluation framework
Location: Data Sets » astral1_161 » 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=506 Clustering
clusterdp 0.066 k=22
dc=174.128477129686		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=142		 Clustering
c-Means 0.0 k=262
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=256 Clustering
DIANA 0.0 metric=euclidean
k=441		 Clustering
DBSCAN 0.0 eps=92.86852113583252
MinPts=456		 Clustering
Hierarchical Clustering 0.0 method=single
k=468		 Clustering
fanny 0.0 k=49
membexp=1.1		 Clustering
clusterONE 0.843 s=1
d=0.9333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=174.128477129686
maxits=2000
convits=500		 Clustering
Markov Clustering 0.036 I=9.93763763763764 Clustering
Transitivity Clustering 0.0 T=15.687250191863601 Clustering