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 0.0 k=1094 Clustering
clusterdp 0.0 k=38
dc=0.9666666666666667		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=1095		 Clustering
c-Means 0.0 k=410
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=1063 Clustering
DIANA 0.0 metric=euclidean
k=1068		 Clustering
DBSCAN 0.003 eps=0.5
MinPts=729		 Clustering
Hierarchical Clustering 0.0 method=complete
k=1070		 Clustering
fanny 0.0 k=173
membexp=1.1		 Clustering
clusterONE 0.004 s=1
d=0.26666666666666666		 Clustering
Affinity Propagation 0.567 dampfact=0.7
preference=0.25
maxits=5000
convits=350		 Clustering
Markov Clustering 0.007 I=3.639039039039039 Clustering
Transitivity Clustering 0.0 T=1.0 Clustering