Unsupervised Adaptation for High-Dimensional with Limited-Sample Data Classification Using Variational Autoencoder.
Mohammad Sultan MahmudJoshua Zhexue HuangXianghua FuRukhsana RubyKaishun WuPublished in: Comput. Informatics (2021)
Keyphrases
- high dimensional
- data sets
- data samples
- machine learning
- data processing
- data analysis
- database
- data mining techniques
- sparse data
- unsupervised learning
- data points
- image data
- classification accuracy
- artificial neural networks
- pattern recognition
- data collection
- high dimensional data
- clustering algorithm
- data quality
- discrete data
- small sample
- data mining
- supervised classification
- original data
- missing values
- test data
- classification algorithm
- support vector
- multi dimensional