High-dimensional data classification model based on random projection and Bagging-support vector machine.
Yujia SunJan PlatosPublished in: Concurr. Comput. Pract. Exp. (2021)
Keyphrases
- high dimensional data
- random projections
- dimensionality reduction
- dimension reduction
- support vector machine
- high dimensionality
- original data
- low dimensional
- lower dimensional
- feature selection
- feature space
- high dimensional
- sparse representation
- dimensionality reduction methods
- nearest neighbor
- svm classifier
- training set
- feature extraction
- support vector machine svm
- machine learning
- support vector
- feature vectors
- pattern recognition
- principal component analysis
- decision trees
- linear discriminant analysis
- data points
- decision boundary
- similarity search
- data sets
- data analysis
- knn
- classification accuracy
- unsupervised learning
- data distribution
- training samples
- principal components analysis
- kernel function
- k nearest neighbor
- training data
- text classification
- supervised learning
- image classification