Feature Selection for Unsupervised Learning Using Random Cluster Ensembles.
Haytham ElghazelAlex AussemPublished in: ICDM (2010)
Keyphrases
- unsupervised learning
- feature selection
- cluster ensemble
- data clustering
- combining multiple
- dimensionality reduction
- semi supervised learning
- supervised learning
- self organizing maps
- text classification
- rand index
- machine learning
- classification accuracy
- semi supervised
- text categorization
- text clustering
- object recognition
- model selection
- statistical analysis and data mining
- cluster analysis
- ensemble methods
- hierarchical clustering
- feature weighting
- expectation maximization
- support vector machine
- k means
- feature set
- knn
- knowledge discovery
- support vector
- feature extraction
- decision trees
- clustering algorithm
- clustering ensemble
- consensus clustering
- information retrieval