A depth-based nearest neighbor algorithm for high-dimensional data classification.
Sandhya HarikumarAkhil Aravindakshan SavithriM. Ramachandran KaimalPublished in: Turkish J. Electr. Eng. Comput. Sci. (2019)
Keyphrases
- high dimensional data
- nearest neighbor algorithm
- nearest neighbor
- high dimensionality
- high dimensional
- k nearest neighbor
- dimensionality reduction
- knn
- dimension reduction
- high dimensional spaces
- data points
- subspace clustering
- training set
- low dimensional
- similarity search
- decision boundary
- pattern recognition
- high dimensional datasets
- data sets
- data distribution
- data analysis
- small sample size
- index structure
- distance function
- pattern classification
- manifold learning
- linear discriminant analysis
- clustering high dimensional data
- image processing
- image classification
- multi class
- classification accuracy
- feature vectors
- sparse representation
- support vector machine svm
- input space
- support vector machine
- feature space
- feature extraction
- variable weighting
- multivariate temporal data