Clusteval logo ClustEval clustering evaluation framework
Location: Data Sets » ppi_mips » 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 0.46 k=103 Clustering
clusterdp 0.336 k=2
dc=0.3		 Clustering
AGNES 0.129 method=complete
metric=euclidean
k=1068		 Clustering
c-Means 0.936 k=1072
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=1065 Clustering
DIANA 0.03 metric=euclidean
k=978		 Clustering
DBSCAN 0.144 eps=0.16666666666666666
MinPts=693		 Clustering
Hierarchical Clustering 0.0 method=single
k=1044		 Clustering
fanny 0.17 k=528
membexp=1.1		 Clustering
clusterONE 0.192 s=1
d=0.23333333333333334		 Clustering
Affinity Propagation 0.972 dampfact=0.7
preference=0.0
maxits=5000
convits=425		 Clustering
Markov Clustering 0.291 I=4.975375375375375 Clustering
Transitivity Clustering 0.183 T=0.6166166166166166 Clustering