Feature Extraction Based on Dimension Reduction and Clustering for Maize Leaf Spot Images.
Xue WangQiuju XieTiemin MaJingfu ZhuPublished in: Int. J. Pattern Recognit. Artif. Intell. (2018)
Keyphrases
- dimension reduction
- feature extraction
- image classification
- high dimensional data analysis
- principal component analysis
- cluster analysis
- image data
- high dimensional data
- high dimensionality
- principle component analysis
- high dimensional problems
- unsupervised learning
- singular value decomposition
- high dimensional
- image retrieval
- input image
- feature representation
- gabor filters
- feature selection
- manifold learning
- object recognition
- linear discriminant analysis
- dimensionality reduction
- low dimensional
- clustering algorithm
- feature space
- random projections
- k means
- feature vectors
- spectral clustering
- principal components
- image processing
- clustering method
- face recognition
- pattern recognition
- preprocessing
- feature set
- nearest neighbor
- least squares
- feature subspace
- self organizing maps
- support vector machine svm