SOM-empowered graph segmentation for fast automatic clustering of large and complex data.
Erzsébet MerényiJoshua TaylorPublished in: WSOM (2017)
Keyphrases
- complex data
- som neural network
- self organizing maps
- k means
- region growing
- normalized cut
- fully automatic
- high dimensional data
- graph theoretic
- cluster analysis
- image segmentation
- kohonen self organizing maps
- segmentation algorithm
- agglomerative clustering
- kohonen self organizing map
- graph partitioning
- level set
- clustering method
- graph clustering
- unsupervised learning
- segmentation method
- clustering algorithm
- graph structure
- data clustering
- graph theory
- min cut max flow
- neural network
- high dimensional
- graph model
- graph layout
- input data
- graph construction
- database
- subspace projections
- neural gas
- region merging
- medical images
- data mining techniques
- random walk
- directed graph
- input space
- segmented regions
- min cut
- nearest neighbor
- subspace clustering
- image processing
- data mining
- spectral clustering