4-D pattern structure features by three stages clustering algorithm for image analysis and classification.
Roman MelnykRuslan TushnytskyyPublished in: Pattern Anal. Appl. (2013)
Keyphrases
- classification accuracy
- image analysis
- feature vectors
- clustering algorithm
- classification method
- feature set
- pattern recognition
- feature extraction
- classification process
- classification models
- svm classifier
- feature space
- statistical classification
- support vector machine
- benchmark datasets
- extracted features
- structural features
- classification scheme
- class labels
- machine learning
- feature selection
- structural information
- feature analysis
- high dimensionality
- pattern representation
- classification algorithm
- feature subset
- co occurrence
- image segmentation
- extracting features
- discriminative features
- brain image analysis
- fractal dimensions
- texture classification
- text classification
- image processing
- complex structures
- training samples
- feature values
- supervised learning
- training set
- clustering analysis
- image features
- feature representation
- image classification
- pattern discovery
- spectral clustering