Fast Simultaneous Clustering and Feature Selection for Binary Data.
Charlotte LaclauMohamed NadifPublished in: IDA (2014)
Keyphrases
- binary data
- simultaneous clustering
- feature selection
- gene expression data
- unsupervised learning
- clustering algorithm
- matrix factorization
- formal concept analysis
- mixture model
- categorical data
- high dimensional
- data sets
- rows and columns
- data matrix
- feature set
- model selection
- text classification
- feature space
- support vector
- machine learning
- itemsets
- dimensionality reduction
- semi supervised
- text categorization
- clustering method
- high dimensionality
- support vector machine
- spectral clustering
- evolutionary algorithm
- data streams
- feature extraction
- learning algorithm