Local density based similarity criterion for clustering of remote-sensing images.
Kadim TasdemirPublished in: SIU (2013)
Keyphrases
- remote sensing images
- clustering algorithm
- clustering method
- k means
- change detection
- remote sensing
- multispectral
- normalized cut
- criterion function
- density based clustering
- unsupervised classification
- cluster validation
- gustafson kessel
- similarity measure
- marked point processes
- arbitrary shape
- outlier detection
- satellite images
- remotely sensed images
- spectral clustering
- subspace clustering
- similarity function
- anomaly detection
- distance metric
- land cover
- spatial clustering
- remote sensing data
- dissimilarity measure
- unsupervised learning
- distance measure
- multi spectral images
- landsat etm
- categorical data
- multispectral images
- data sets
- hyperspectral
- similar objects
- clustering quality
- high dimensional data
- feature selection
- data clustering
- fuzzy clustering algorithm
- cluster analysis
- mutual information
- image data
- neural network