RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data.
Manoranjan DashYew-Soon OngPublished in: ICTAI (2011)
Keyphrases
- noisy data
- feature selection
- high dimensionality
- noise tolerant
- unsupervised feature selection
- unsupervised learning
- clustering algorithm
- machine learning
- clustering method
- learning from noisy data
- k means
- high dimensional
- training data
- mutual information
- intrinsic dimensionality
- anomaly detection
- text categorization
- text classification
- missing values
- dimensionality reduction