From Clustering to Cluster Explanations via Neural Networks.
Jacob R. KauffmannMalte EsdersLukas RuffGrégoire MontavonWojciech SamekKlaus-Robert MüllerPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- clustering algorithm
- neural network
- data clustering
- cluster analysis
- hierarchical clustering
- overlapping clusters
- k means
- self organizing maps
- inter cluster
- clustering approaches
- intra cluster
- clustering method
- cluster membership
- clustering scheme
- clustering framework
- hierarchical clustering algorithm
- clustering procedure
- disjoint clusters
- unsupervised clustering
- data points
- cluster validation
- artificial neural networks
- pattern recognition
- arbitrary shape
- cluster validity
- validity measures
- clustering result
- constrained clustering
- spectral clustering
- similarity matrix
- cluster centers
- hierarchical agglomerative clustering
- categorical data
- model based clustering
- density based clustering
- similar objects
- homogeneous groups
- clustering quality
- subspace clustering
- instance level constraints
- rough k means
- neural network model
- fuzzy clustering
- generating explanations
- agglomerative hierarchical clustering
- neighborhood information
- recurrent neural networks
- unsupervised learning
- back propagation
- clustering analysis
- evolutionary clustering
- similarity measure
- neural nets
- training process
- dense regions
- cluster structure
- overlapping clustering
- cluster centroids
- density based clustering algorithm
- data objects
- meaningful clusters
- semi supervised
- fuzzy logic