From Clustering to Cluster Explanations via Neural Networks.
Jacob R. KauffmannMalte EsdersGrégoire MontavonWojciech SamekKlaus-Robert MüllerPublished in: CoRR (2019)
Keyphrases
- clustering algorithm
- neural network
- data clustering
- hierarchical clustering
- cluster analysis
- self organizing maps
- clustering approaches
- clustering method
- overlapping clusters
- constrained clustering
- data points
- k means
- unsupervised clustering
- clustering scheme
- cluster centers
- cluster membership
- clustering procedure
- clustering framework
- density based clustering algorithm
- validity measures
- inter cluster
- intra cluster
- document clustering
- back propagation
- hierarchical clustering algorithm
- similar objects
- supervised clustering
- cluster validity
- clustering result
- agglomerative hierarchical clustering
- disjoint clusters
- arbitrary shape
- subspace clustering
- categorical data
- genetic algorithm
- data objects
- clustering analysis
- rough k means
- instance level constraints
- homogeneous groups
- unsupervised learning
- hierarchical agglomerative clustering
- spectral clustering
- fuzzy clustering
- neural nets
- model based clustering
- clustering quality
- cluster validation
- cluster labels
- fuzzy c means
- artificial neural networks
- pairwise
- neighborhood information
- similarity matrix
- data sets