An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data.
Xin LuoZidong WangMingsheng ShangPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2021)
Keyphrases
- sparse data
- factor analysis
- high dimensional
- automatic model selection
- latent factors
- independent component analysis
- discriminant analysis
- cluster analysis
- statistical tests
- matrix factorization
- feature space
- dimensionality reduction
- low dimensional
- real world
- high dimensional data
- data points
- unsupervised learning
- latent variables
- clustering algorithm
- neural network
- model selection
- nearest neighbor
- knowledge discovery
- random sampling
- machine learning