Text Dimensionality Reduction for Document Clustering Using Hybrid Memetic Feature Selection.
Ibraheem Al-JadirKok Wai WongChun Che FungHong XiePublished in: MIWAI (2017)
Keyphrases
- document clustering
- dimensionality reduction
- feature selection
- text documents
- text clustering
- text mining
- text categorization
- text classification
- automatic categorization
- high dimensionality
- document categorization
- document representation
- high dimensional data
- low dimensional
- topic detection
- feature extraction
- document corpus
- feature space
- text data
- document collections
- high dimensional
- tf idf
- clustering algorithm
- vector space model
- machine learning
- document clusters
- automatic summarization
- data representation
- artificial intelligence
- text analysis
- tolerance rough set
- clustering method
- keywords
- data points
- data mining
- metric learning
- support vector machine
- information retrieval
- unsupervised learning
- information extraction
- knn
- face recognition
- pairwise
- k means
- pairwise constraints
- spectral clustering
- named entities
- cluster analysis