Hybrid Quantum Neural Network in High-dimensional Data Classification.
Hao-Yuan ChenYen-Jui ChangShih-Wei LiaoChing-Ray ChangPublished in: CoRR (2023)
Keyphrases
- high dimensional data
- high dimensionality
- neural network
- dimension reduction
- dimensionality reduction
- pattern recognition
- high dimensional
- nearest neighbor
- low dimensional
- regression problems
- small sample size
- high dimensions
- data sets
- data points
- data analysis
- manifold learning
- feature selection
- subspace clustering
- clustering high dimensional data
- high dimensional feature spaces
- feature extraction
- image classification
- similarity search
- sparse representation
- data distribution
- input space
- multivariate temporal data
- linear discriminant analysis
- missing values
- variable selection
- machine learning
- feature space
- lower dimensional
- support vector machine svm
- nonlinear dimensionality reduction
- dimensional data
- database
- high dimensional data sets
- feature vectors
- knn
- high dimensional datasets
- high dimensional spaces
- original data
- subspace learning
- class labels
- text data
- neural network model