Clusteval logo ClustEval clustering evaluation framework
Location: Data Sets » coli_need » 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 NaN k=18 Clustering
clusterdp NaN k=12
dc=0.9511393567582567		 Clustering
AGNES 0.791 method=complete
metric=euclidean
k=1		 Clustering
c-Means 0.651 k=2
m=1.01		 Clustering
k-Medoids (PAM) NaN k=2 Clustering
DIANA 0.78 metric=euclidean
k=4		 Clustering
DBSCAN NaN eps=0.9325257783804497
MinPts=63		 Clustering
Hierarchical Clustering NaN method=single
k=34		 Clustering
fanny NaN k=12
membexp=2.0		 Clustering
clusterONE NaN s=1
d=0.26666666666666666		 Clustering
Affinity Propagation NaN dampfact=0.99
preference=1.0000000000000002
maxits=4250
convits=500		 Clustering
Markov Clustering NaN I=5.438638638638639 Clustering
Transitivity Clustering NaN T=0.9815541115174887 Clustering