Empirical Study on Unsupervised Feature Selection for Document Clustering.
Ausra Mackute-VaroneckieneTomas KrilaviciusPublished in: Baltic HLT (2014)
Keyphrases
- empirical studies
- unsupervised feature selection
- document clustering
- negative matrix factorization
- nonnegative matrix factorization
- data clustering
- clustering algorithm
- feature selection
- text mining
- document collections
- clustering method
- cluster analysis
- k means
- text documents
- dimensionality reduction
- computer vision
- machine learning
- data sets
- spectral clustering
- text categorization
- natural language