Clusteval logo ClustEval clustering evaluation framework
Location: Data Sets » coli_find » 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 0.376 k=4 Clustering
clusterdp 0.396 k=18
dc=0.9848446113929665		 Clustering
AGNES 0.398 method=ward
metric=euclidean
k=10		 Clustering
c-Means 0.39 k=2
m=1.01		 Clustering
k-Medoids (PAM) 0.353 k=2 Clustering
DIANA 0.398 metric=euclidean
k=13		 Clustering
DBSCAN 0.394 eps=0.9090676683577977
MinPts=140		 Clustering
Hierarchical Clustering 0.398 method=average
k=10		 Clustering
fanny 0.399 k=32
membexp=5.0		 Clustering
clusterONE 0.394 s=1
d=0.43333333333333335		 Clustering
Affinity Propagation 0.373 dampfact=0.7
preference=0.9090676683577977
maxits=4250
convits=500		 Clustering
Markov Clustering 0.394 I=8.975475475475475 Clustering
Transitivity Clustering 0.395 T=0.9785184882206611 Clustering
MCODE 0.354 v=0.0
cutoff=0.9962111528482418
haircut=F
fluff=T		 Clustering