reval: a Python package to determine the best number of clusters with stability-based relative clustering validation.
Isotta LandiVeronica MandelliMichael V. LombardoPublished in: CoRR (2020)
Keyphrases
- cluster validation
- clustering algorithm
- cluster validity
- cluster centers
- hierarchical clustering
- small number
- fuzzy clustering
- data clustering
- self organizing maps
- cluster analysis
- k means
- homogeneous groups
- constrained clustering
- determined automatically
- computational complexity
- kohonen self organizing maps
- fuzzy k means
- density based clustering algorithm
- cluster membership
- clustering framework
- graph clustering
- highly correlated
- subspace clustering
- fuzzy c means
- semi supervised
- data points