Integrating LDA with Clustering Technique for Relevance Feature Selection.
Abdullah Semran AlharbiYuefeng LiYue XuPublished in: Australasian Conference on Artificial Intelligence (2017)
Keyphrases
- feature selection
- linear discriminant analysis
- unsupervised learning
- high dimensionality
- dimensionality reduction
- topic discovery
- unsupervised feature selection
- class separability
- dimension reduction
- dealing with high dimensional data
- clustering method
- clustering algorithm
- feature extraction
- data clustering
- discriminant analysis
- data pre processing
- feature space
- cluster analysis
- information retrieval
- small sample size
- latent dirichlet allocation
- k means
- text categorization
- data points
- text classification
- topic models
- mutual information
- feature set
- high dimensional data
- high dimensional
- face recognition
- selected features
- web snippets
- feature relevance
- principal component analysis
- feature reduction
- hierarchical clustering
- classification accuracy
- model selection
- data sets
- multi class