Fading Affect Bias: Improving the Trade-off Between Accuracy and Efficiency in Feature Clustering.
Ziyin WangSepehr FarhandGavriil TsechpenakisPublished in: WACV (2018)
Keyphrases
- clustering algorithm
- k means
- clustering method
- hierarchical clustering
- computational efficiency
- categorical data
- outlier detection
- feature vectors
- cluster analysis
- data clustering
- feature importance
- anomaly detection
- image features
- information retrieval
- document clustering
- feature space
- computational complexity
- graph theoretic
- selecting features
- negatively affect