Incremental Linear Discriminant Analysis Dimensionality Reduction and 3D Dynamic Hierarchical Clustering WSNs.
G. Divya Mohana PriyaM. KarthikeyanK. MuruganPublished in: Comput. Syst. Sci. Eng. (2022)
Keyphrases
- linear discriminant analysis
- hierarchical clustering
- dimensionality reduction
- incremental clustering
- discriminant analysis
- principal component analysis
- high dimensional data
- high dimensional
- dimension reduction
- feature extraction
- clustering method
- small sample size
- low dimensional
- dealing with high dimensional data
- principal components analysis
- data representation
- feature space
- linear projection
- high dimensionality
- face recognition
- fisher criterion
- class separability
- kernel discriminant analysis
- pattern recognition
- clustering algorithm
- feature selection
- manifold learning
- data points
- supervised dimensionality reduction
- lower dimensional
- subspace learning
- support vector
- singular value decomposition
- null space
- single linkage
- k means
- linear discriminant
- unsupervised learning
- scatter matrix
- computer vision
- dimensionality reduction methods
- principal components
- input data
- involving high dimensional data
- partitional clustering
- locality preserving projections
- concept drift