High Dimensional Data Classification Approach with Deep Learning and Tucker Decomposition.
Ngoc Quoc TranMinh Hoang PhamTran Thai SonPublished in: SoICT (2023)
Keyphrases
- high dimensional data
- deep learning
- high dimensionality
- dimension reduction
- dimensionality reduction
- unsupervised learning
- low dimensional
- high dimensional
- nearest neighbor
- data sets
- subspace clustering
- feature space
- restricted boltzmann machine
- data points
- pattern recognition
- machine learning
- multivariate temporal data
- image classification
- data analysis
- clustering high dimensional data
- feature selection
- decision trees
- text classification
- database
- variable weighting
- high dimensional datasets
- training data
- sparse representation
- feature extraction
- weakly supervised
- high dimensional spaces
- support vector
- class labels
- feature vectors
- probabilistic model
- principal component analysis