Unsupervised Network Embedding for Graph Visualization, Clustering and Classification.
Leonardo Gutiérrez-GómezJean-Charles DelvennePublished in: CoRR (2019)
Keyphrases
- unsupervised learning
- unsupervised classification
- supervised classification
- unsupervised clustering
- graph theoretic
- supervised learning
- self organizing maps
- graph layout
- classification accuracy
- clustering algorithm
- random walk
- normalized cut
- graph model
- som neural network
- machine learning
- multidimensional scaling
- agglomerative clustering
- text classification
- feature extraction
- pattern recognition
- clustering method
- decision trees
- support vector
- clustering analysis
- graph partitioning
- neural network
- unsupervised feature selection
- spanning tree
- semi supervised
- data clustering
- network structure
- training data
- strongly connected
- class labels
- support vector machine
- feature vectors
- random graphs
- cluster analysis
- feature space
- graph structure
- k means
- unsupervised manner
- graph clustering
- community discovery
- spectral clustering
- graph drawing
- feature selection