Discriminative Projected Clustering via Unsupervised LDA.
Feiping NieXia DongZhanxuan HuRong WangXuelong LiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2023)
Keyphrases
- unsupervised learning
- topic discovery
- semi supervised
- linear discriminant analysis
- discriminating power
- topic modeling
- dimensionality reduction
- latent dirichlet allocation
- k means
- clustering algorithm
- supervised classification
- information bottleneck
- unsupervised manner
- topic models
- agglomerative clustering
- unsupervised classification
- unsupervised feature selection
- dimension reduction
- feature selection
- generative model
- face recognition
- feature extraction
- supervised learning
- data clustering
- lda model
- unsupervised clustering
- self organizing maps
- discriminant analysis
- cluster analysis
- high dimensional data
- probabilistic latent semantic analysis
- text mining
- hierarchical clustering
- completely unsupervised
- anomaly detection
- spectral clustering
- data points
- machine learning
- clustering method
- discriminant projection
- word sense induction
- web people search
- discriminative subspace
- minimum message length
- latent topics
- document clustering
- information theoretic
- principal component analysis
- feature space