Empowering graph segmentation methods with SOMs and CONN similarity for clustering large and complex data.
Erzsébet MerényiJoshua TaylorPublished in: Neural Comput. Appl. (2020)
Keyphrases
- complex data
- self organizing maps
- graph clustering
- data mining
- multidimensional scaling
- neural network
- database
- clustering algorithm
- normalized cut
- segmentation accuracy
- graph partitioning
- high dimensional data
- spectral clustering
- graph construction
- graph theoretic
- graph theory
- data clustering
- distance metric
- distance function
- random walk
- data mining techniques
- nearest neighbor
- knn
- data points
- k means
- pattern recognition
- feature selection