Interactive textual feature selection for consensus clustering.
Geraldo N. CorreaRicardo M. MarcaciniEduardo R. HruschkaSolange Oliveira RezendePublished in: Pattern Recognit. Lett. (2015)
Keyphrases
- feature selection
- consensus clustering
- clustering ensemble
- classification accuracy
- keywords
- machine learning
- combining multiple clusterings
- chemical structures
- high dimensionality
- text categorization
- feature set
- k means
- clustering algorithm
- user interaction
- data analysis
- feature subset
- combining multiple
- dimensionality reduction
- text classification
- unsupervised learning
- cluster ensemble
- natural language
- feature extraction
- data sets