Towards a Hybrid Approach of Self-Organizing Map and Density-Based Spatial Clustering of Applications with Noise for Image Segmentation.
Qi ChenKevin Kam Fung YuenChun GuanPublished in: DeSE (2017)
Keyphrases
- spatial clustering
- self organizing maps
- image segmentation
- spatial data mining
- clustering method
- input data
- k means
- som neural network
- clustering algorithm
- neural network
- fuzzy c means
- spatial objects
- unsupervised learning
- learning vector quantization
- knowledge discovery
- region growing
- multiscale
- graph cuts
- spatial data
- markov random field
- spatial correlation
- arbitrary shape
- spatial features
- probabilistic neural network
- growing self organizing map
- edge detection
- data mining
- data sets
- spatial databases
- image data
- image processing
- feature selection
- computer vision
- databases
- database